Journal of Intelligent & Fuzzy Systems - Volume 28, issue 1

Authors: Gascueña, José M. | Navarro, Elena | Fernández-Sotos, Patricia | Fernández-Caballero, Antonio | Pavón, Juan

Article Type: Research Article

Abstract: An important issue in Ambient Intelligence (AmI) is the massive deployment of intelligent agents embedded in the environment which are adaptive to the users' profiles, preferences and needs. This is why, the use of agent-oriented methodologies and frameworks is almost mandatory to easily develop software for AmI scenarios. ICARO is a software framework that promotes the use of different organizational and behavioral patterns to implement multi-agent systems (MAS). Its extensive use in several projects demonstrates a substantial increase in software productivity. Also, in order to reduce the coding effort it is usual to design MAS at a higher level. In …this sense, code generation from MAS specifications into ICARO framework has been performed. INGENIAS Development Kit (IDK) supports both the specification of MAS models, including any feature required to implement MAS with ICARO, and a set of facilities for code generation. This paper describes the development of AmI applications thanks to the integration of ICARO and IDK. Two IDK modules have been developed, namely a “code generation” and a “code update support” module. Show more

Keywords: Multi-agent systems, agent-oriented software engineering, code generation, ambient intelligence, assisted living systems, ambient assisted systems, smart homes

DOI: 10.3233/IFS-141200

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 1, pp. 3-15, 2015

Authors: Gascueña, José M. | Garijo, Francisco J. | Fernández-Caballero, Antonio | Gleizes, Marie-Pierre | Machonin, André

Article Type: Research Article

Abstract: One important research area in autonomous mobile robotics is to create companions that live in our ambience and perform tasks to help in everyday life. On the other hand, Ambient Intelligence (AmI) seeks to create a network of helpful intelligent devices. This paper describes an approach for the development of cooperation models for eldercare robot teams using goal-driven control components. The framework and the approach are illustrated through the development and assessment of task allocation in multi-robot teams. Two cooperation models are implemented: (i) a team model based on the adaptive multi-agent systems theory where task responsibility is agreed among …team peers by exchanging individual estimations of the degree of difficulty and priority to achieve the task; (ii) a hierarchical model where a robot manager asks for the estimations of its team members and then assigns the task. Experimentation for team cooperation assessment is performed through considering environmental changes, as well as communications and internal failures. The proposal is simulated in an AmI-oriented elderly care center to assist seniors in need. Show more

Keywords: Adaptive multi-agent systems (AMAS), agent frameworks, robotics, distributed task allocation, cooperation models, ambient Intelligence

DOI: 10.3233/IFS-141199

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 1, pp. 17-28, 2015

Authors: De la Prieta, Fernando | Rodríguez, Sara | Corchado, Juan M. | Bajo, Javier

Article Type: Research Article

Abstract: Nowadays there is a clear trend towards using methods and tools that can help the development of Simulation Systems. In this regard, Multiagent System (MAS) is a key technology that allows simulating user behavior. When the user is the focus of the simulation, Ambient Intelligent (AmI) increases in importance. AmI is an emerging multidisciplinary area based on ubiquitous computing that aims to adapt the environment to the needs of the user. Moreover, Cloud Computing is revolutionizing the services provided through the Internet, continually adapting itself in order to maintain the quality of its services. This study presents a multiagent based …middleware for the simulation of agent behavior in cloud environments, and uses this information to adapt to the environment as AmI proposed. The main challenge of this work is the design and development of a new middleware that makes possible the communication between the technology in charge of the development of MAS and the technology in charge of the simulation, visualization and analysis of the behavior of the agents using the potential of cloud computing. The platform makes the computation and communication possible by following the principles proposed by AmI. Show more

Keywords: Multiagent systems, simulation, agent based simulation, cloud computing, distributed systems

DOI: 10.3233/IFS-141219

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 1, pp. 29-41, 2015

Authors: Sanchez-Pi, Nayat | Leme, Luiz Andre Paes | Garcia, Ana Cristina Bicharra

Article Type: Research Article

Abstract: Alarm management is a fast-growing and important aspect in the petroleum operation domain. Alarm devices have become very cheap leading petroleum equipment manufacturers to overuse them transferring safety responsibility to operators. Not rarely, accident reports cite poor operators understanding of the actual plant status due to too many active alarms. Typical alarms for a process plant could average over fourteen thousand per day so, there is mandatory to have a filtering process to distinguish expected from non-expected behavior during emergency scenarios. Ambient Intelligence contributes by enriching the petroleum plant environment with technology (mainly sensors and devices interconnected through a network) …and built a system to help plant operators to make decisions based on real-time information gathered and historical data accumulated. Ambient Intelligence puts together all these resources to provide flexible and intelligent services to users acting in their environment. Inspired by the distributed and encapsulated aspect of the process plant artifact physical model, we proposed a multi-agent-based alarm management system to synthesize the process plant situation during emergency situations and assisting operators to make sense of alarm avalanche scenarios. Show more

Keywords: Multi-agent systems, ambient intelligence, alarm management, oil industry, fault detection

DOI: 10.3233/IFS-141198

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 1, pp. 43-53, 2015

Authors: Ribino, Patrizia | Cossentino, Massimo | Lodato, Carmelo | Lopes, Salvatore | Seidita, Valeria

Article Type: Research Article

Abstract: Current trends in the AI's evolution are going towards enriching environments with intelligence in order to support humans in their everyday life. AmI systems are plunged in the real world and humans expect to interact with them in a way that is similar to the one they have with other humans. In this kind of systems, where eliciting requirements involves several documents and stakeholders (mainly users that will be the first consumers of the system), the requirement analysis phase can be affected by incomplete, ambiguous and imprecise information. Hence, the need to find a fruitful way for knowledge management and …its representation at design time. In this paper we propose a set of abstractions to be used during the early requirements analysis of AmI systems development. The result is a simple and at the same time powerful set of concepts and guidelines for providing environment knowledge representation for AmI systems. Show more

Keywords: Requirement analysis, smart environment, ontology, AmI model , software design

DOI: 10.3233/IFS-141217

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 1, pp. 55-70, 2015

Authors: Costa-Dasilva, Juan Ignacio | Gómez-Rodríguez, Alma | González-Moreno, Juan C. | Ramos-Valcárcel, David

Article Type: Research Article

Abstract: Ambient Intelligence has emerged lately as the integrating concept which includes Ubiquitous Computing, Ubiquitous Communication and Intelligent User Interfaces. The real implementation of such concepts is based on the use of new technology and innovative ways of development. Agent Oriented Software Engineering techniques and concepts have been used as a way of providing support to ubiquitous computing and communication. In addition, intelligent user interfaces require systems that provide a more efficient and rich interface with the user than the traditional ones. This paper presents a platform called MAPAS, which uses Ambient Intelligence concepts and techniques to give a fully scalable …solution to a particular problem. The chosen system provides a solution, using the platform, to personalize the dissemination of events, that is, the system makes available to the user a set of events of his/her interest. This kind of systems requires a high degree of user's personalization. However nowadays, it is the user who must search the events of interest or subscribe to several different services or pages. The platform introduced in this paper takes profit of Agent Oriented technology to provide a system composed of various agents who may run in different devices, which communicate and provide a user personalized selection of events. Moreover, the system is aware of the surrounding environment, can be installed on smart devices, provides a rich and intuitive user interface and uses Augmented Reality techniques to give spatial location data about the events. Regarding the characteristics of the solution, it seems to be suitable for problems in the domain of Ambient Intelligence. Show more

Keywords: Multiagent systems, ambient intelligence, augmented reality

DOI: 10.3233/IFS-141197

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 1, pp. 71-81, 2015

Authors: Vakula, V.S. | Sudha, K.R.

Article Type: Research Article

Abstract: This paper presents an analysis on dynamic performance of a three area Interconnected power system. Each area considered with effect of boiler dynamics, governor deadband and Generation Rate Constraints when subjected to parametric uncertainties. The evolution of more socialized companies for generation, transmission and distribution affects the formulation of Load Frequency Control problem. The concept of DISCOM participation matrix to simulate these bilateral contracts is introduced and reflected in the three-area block diagram. The scaling factors which transform the scaled input-output real values to required value in decision limit are tuned using Differential Evolution Algorithm. The series of control rules …in Fuzzy logic approach are made to cover all possible combinations of the ‘m’-input variables with ‘n’-membership functions will be of ‘nm ’ in number. The number of membership functions of the output fuzzy set will be (3n − 2) for n ≥ 3. The present paper investigates the performance of a structure preserving controller in a three area Interconnected power system in deregulated environment. Show more

Keywords: Load Frequency Control, Fuzzy Logic Controller, differential evolution, deregulation

DOI: 10.3233/IFS-141279

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 1, pp. 85-105, 2015

Authors: Zhao, Hanping | Bai, Xuemin | Zheng, Dong | Wang, Fangping

Article Type: Research Article

Abstract: Most traffic delays during regional evacuations occur due to a large number of vehicles are grouped for a short time. Thus, the reasonable assignment of a vehicle route is one strategy for reducing these delays. To identify an optimal vehicle route assignment plan, this paper presents a multi-source and multi-destination traffic network model. This model is an extension of the minimum cost flow problem and it improves the definition of the travel time based on the traffic volume. It can be used to formulate vehicle routing plans that alleviate traffic congestion and reduce the evacuation time. A genetic algorithm is …modified to find the solution for this model. The solution trades off the total vehicle travel distance against traffic jams. An application is presented for Wenzhou city, Zhejiang province, China. Show more

Keywords: Emergency evacuation, vehicle route assignment, genetic algorithm

DOI: 10.3233/IFS-141280

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 1, pp. 107-116, 2015

Authors: Cao, Qingwei | Wu, Jian | Liang, Changyong

Article Type: Research Article

Abstract: This article proposes an intuitionistic fuzzy multi-criteria decision making method for supplier selection problem in which attribute values take the form of intuitionistic fuzzy numbers and attribute weights are completely unknown in advance. Firstly, the definition of intuitionistic fuzzy judgement matrix by conducting pair-wise comparisons for green supplier selection criteria is introduced. Then, a novel approach for making priority of the intuitionistic fuzzy judgement matrix is proposed to determine the subject weights of criteria. Secondly, an optimization model is established to determine the objective weights, which maximizes the distance of every alternative to negative-ideal solution. Furthermore, the subject and objective …weights are integrated to general weights. Then, a Technique of ranking Preferences by Similarity to the Ideal Solution (TOPSIS) method combined with intuitionistic fuzzy set is set up to rank all the alternatives. The novelty of this method is that it conducts sensitivity analysis to determine the impact of criteria weights on ranking order of alternatives. Finally, a numerical example for green supplier selection is given to illustrate application of the proposed approach. Show more

Keywords: Green supplier selection, multi-criteria decision making, intuitionistic fuzzy number, TOPSIS method, subjective weights, objective weights

DOI: 10.3233/IFS-141281

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 1, pp. 117-126, 2015

Authors: da Silva, Wilson Ricardo Leal | Šmilauer, Vít

Article Type: Research Article

Abstract: Time-dependent hydration process of Portland cement presents a complex system with several uncertainties. A presented four-parametric affinity hydration model captures well the hydration kinetics when three parameters are treated as fuzzy numbers. The equations for the fuzzy affinity hydration model are derived using Zadeh's extension principle, which allows for simplifying calculations to obtain a fuzzy solution. The fuzzy model validates Portland cements with different mineral compositions, water-cement ratii raging from 0.16 to 0.50, and curing temperatures varying from 10 to 30°C. Also, the fuzzy model is verified against CEMHYD3D and s-shape hydration model. In summary, validation and verification results show …that the fuzzy model permits to predict vague conditions without lacking the credibility of results. Show more

Keywords: Affinity hydration model, cement hydration, extension principle, fuzzy numbers, modeling

DOI: 10.3233/IFS-141282

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 1, pp. 127-139, 2015

Authors: Zhang, Weiyuan | Xing, Keyi | Li, Junmin | Chen, Minglai

Article Type: Research Article

Abstract: A new adaptive learning control strategy is used to solve the synchronization problem for delayed reaction-diffusion fuzzy cellular neural networks with unknown periodically time-varying parameters. By constructing suitable Lyapunov-Krasovskii-like composite energy functional and employing some analysis techniques, a differential-difference mixed parametric learning law and an adaptive learning control law are constructed to achieve the adaptive synchronization of reaction-diffusion fuzzy cellular neural networks with unknown periodically time-varying parameters. Finally, a numerical example is presented to show the effectiveness of the proposed synchronization approach.

Keywords: Synchronization, reaction-diffusion fuzzy cellular neural networks, unknown time-varying parameters, adaptive learning laws, delay

DOI: 10.3233/IFS-141283

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 1, pp. 141-150, 2015

Authors: Liu, Zhi-Chao | Ye, Yong

Article Type: Research Article

Abstract: In this paper, the multiple attribute decision making problems with Trapezoid fuzzy linguistic information are investigated. Motivated by the ideal of Bonferroni mean, the aggregation techniques called the trapezoid fuzzy linguistic Bonferroni mean (TFLBM) operator for aggregating the Trapezoid fuzzy linguistic information are proposed. For the situations where the input arguments have different importance, the Trapezoid fuzzy linguistic weighted Bonferroni mean (TFLWBM) operator is defined. The procedure for multiple attribute decision making based on the TFLWBM operator under the Trapezoid fuzzy linguistic environments is developed. Finally, a practical example for evaluating the investment project risk is given to verify the …developed approach. Show more

Keywords: Comprehensive evaluating modeling, investment project risk, trapezoid fuzzy linguistic variables, trapezoid fuzzy linguistic Bonferroni mean (TFLBM) operator, trapezoid fuzzy linguistic weighted Bonferroni mean (TFLWBM) operator

DOI: 10.3233/IFS-141284

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 1, pp. 151-156, 2015

Authors: Borzooei, R.A. | Mobini, M. | Ebrahimi, M.M.

Article Type: Research Article

Abstract: Molodtsov initiated the concept of soft set theory, which can be used as a generic mathematical tool for dealing with uncertainty. In this paper, we consider some category-theoretic properties of the category of all soft sets, with morphisms between them. We also characterize several kinds of epimorphisms and monomorphisms.

Keywords: Soft sets, category, monomorphism, epimorphism

DOI: 10.3233/IFS-141286

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 1, pp. 157-167, 2015

Authors: Guo, Zhi-Lian | Yang, Hai-Long | Wang, Jue

Article Type: Research Article

Abstract: In this paper we generalize the rough set model over dual-universes in fuzzy approximation space to intuitionistic fuzzy case. Concretely, based on the cut set of intuitionistic fuzzy relation, the rough set model over dual-universes in intuitionistic fuzzy approximation space is first presented. Then, some properties of the rough set model are discussed. Two extended models of the rough set model are given, and some principal results are obtained. Finally, by three-way decision theory, two examples are applied to illustrate the application of the rough set model presented in this paper.

Keywords: Rough sets, intuitionistic fuzzy relations, cut sets, dual-universes

DOI: 10.3233/IFS-141287

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 1, pp. 169-178, 2015

Authors: Safarinejadian, Behrouz | Bagheri, Bahareh | Ghane, Parisa

Article Type: Research Article

Abstract: In this paper, a new method of fault detection is proposed based on interval type-2 fuzzy systems. The main idea is to provide a confident span using interval type-2 fuzzy sets. Bat algorithm, as a metaheuristic method, is used to optimize the parameters of the system. In other words, upper and lower bounds of the interval type-2 fuzzy system are estimated by means of two optimal fuzzy functions. The proposed fault detection method has been tested in a non-linear system, a two-tank with a fluid flow. Simulation results show that the proposed method is very strong and effective.

Keywords: Fuzzy system, interval type-2 fuzzy, bat algorithm, fault detection

DOI: 10.3233/IFS-141288

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 1, pp. 179-187, 2015

Authors: Zeng, Yu | Xiao, Renbin

Article Type: Research Article

Abstract: Given the high vulnerability of social system to disruptions, it is very critical to make scientific analysis on the vulnerability of social system and further manage its vulnerability, especially for today's highly networked society. The focus of this work is on the dynamic analysis for the vulnerability of social system under considering the cascading phenomenon. Considering that a social system with interconnected agents is better modeled as a network than as a linear chain, we introduce a networked approach to investigate the structural characteristics of social system first. Then a social system is modeled as a social network graph. Furthermore, …a cascading model and a new vulnerability measurement based on the model are proposed to analyze the vulnerability of social network. Finally, the illustrative example of a real social system is given to indicate the effectiveness and usefulness of the proposed framework. The study provides some new insights about the vulnerability of social system, and is also helpful to discover the global potential behaviors during cascading failure spreading within social system. Show more

Keywords: Social network, cascading failure, dynamic vulnerability, networked approach, complex network theory

DOI: 10.3233/IFS-141289

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 1, pp. 189-197, 2015

Authors: Zhang, Yu

Article Type: Research Article

Abstract: The problem of evaluating the computer network security with dual hesitant fuzzy information is the multiple attribute decision making problems. Then, motivated by the ideal of Hamacher aggregation operators and the Choquet integral, we have developed the dual hesitant fuzzy Hamacher correlated geometric (DHFHCG) operator. Then, we have utilized this operator to develop the model to solve the dual hesitant fuzzy multiple attribute decision making problems. Finally, a practical example for evaluating the computer network security is given to verify the developed approach.

Keywords: Multiple attribute decision making, dual hesitant fuzzy values, dual hesitant fuzzy Hamacher correlated geometric (DHFHCG) operator, computer network security

DOI: 10.3233/IFS-141290

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 1, pp. 199-204, 2015

Authors: Yang, Rong | Wang, Zhenyuan

Article Type: Research Article

Abstract: Compared to the classification model based on single Choquet integrals, a novel generalized nonlinear classification model based on cross-oriented Choquet integrals is presented. A couple of Choquet integrals are used to achieve the classification boundaries which can classify data in situations such as one class surrounding another one in a high dimensional space. The classification problems come down to properly specifying the fuzzy measure with respect to which the Choquet integral(s) are defined and the classifying boundaries by which the different classes are separated. The values of these unknown parameters are optimally determined by an evolutionary computation. The performance of …the presented model is compared and validated with some existed methods on a number of benchmark datasets. Show more

Keywords: Classification, Choquet integral, fuzzy measure, genetic algorithm

DOI: 10.3233/IFS-141291

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 1, pp. 205-216, 2015

Authors: Chen, Liang-Hsuan | Chen, Hsin-Hung

Article Type: Research Article

Abstract: This paper investigates multi-level multi-objective linear programming problems in fuzzy environments, where each decision level has one decision-maker (DM) with a vector of decision variables and possibly more than one objective function. The objective functions of each DM and the decision variables of higher-level DMs are characterized by membership functions, which are considered as fuzzy goals. In related studies, the tolerances used to define membership functions of higher-level DMs' decision variables are usually subjectively determined. This may lead to infeasible solutions. This paper focuses on the determination of required minimum tolerances for higher-level DMs' decision variables to ensure feasibility in …the solution process. A fuzzy goal programming model is established to optimally satisfy all defined fuzzy goals by minimizing satisfaction deviations under the constraint of the leader-follower relationship. A numerical example is provided for demonstrating the proposed approaches. It is shown that existing approaches may not have feasible solutions if the required minimum tolerances are not adopted. Show more

Keywords: Multi-level decision-making, multiple objectives, fuzzy mathematical programming

DOI: 10.3233/IFS-141292

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 1, pp. 217-224, 2015

Authors: Linhares, Leandro L.S. | Araújo Jr., José M. | Araújo, Fábio M.U. | Yoneyama, Takashi

Article Type: Research Article

Abstract: This paper concerns the use of an alternative Fuzzy Wavelet Neural Network (FWNN) to model the input-output maps of nonlinear dynamic systems. The analyzed structure uses only wavelet functions in the consequent part of its fuzzy rules. The advantages and disadvantages of using this FWNN in model identification tasks are listed considering a comparative study performed with other FWNN structures found in literature. The evaluations are carried out using a real multisection liquid storage tank with abrupt transitions between its sections. The analysis is based on usual criteria such as: mean quadratic error, number of training epochs, number of adjustable …parameters, quadratic error variance, among others. The results indicate that the modified FWNN structure maintains the capability of generalization and other important characteristics presented by traditional networks FWNN, despite the reduction in the complexity of the structure. Show more

Keywords: Fuzzy Wavelet Neural Network, identification, nonlinear systems, fuzzy logic, wavelet functions

DOI: 10.3233/IFS-141293

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 1, pp. 225-235, 2015

Authors: Cristea, Irina | Davvaz, Bijan | Hassani Sadrabadi, E.

Article Type: Research Article

Abstract: Any complete hypergroup H can be characterized by an ordered m-tuple of natural numbers, representing the cardinalities of the subsets of H that divide it in a specific partition. In this paper we determine necessary and sufficient conditions concerning the corresponding m-tuples such that a particular intuitionistic fuzzy set (that is the key element in determining the intuitionistic fuzzy grade of a hypergroup) is an intuitionistic fuzzy subhypergroup of special complete hypergroups, those obtained from a group isomorphic with the additive group of integers modulo a prime number, or modulo the double of a prime number.

Keywords: Complete hypergroup, intuitionistic fuzzy set, intuitionistic fuzzy subhypergroup

DOI: 10.3233/IFS-141294

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 1, pp. 237-245, 2015

Authors: Ye, Jun

Article Type: Research Article

Abstract: The paper proposes the concepts of a single valued neutrosophic linguistic set (SVNLS) and a single valued neutrosophic linguistic number (SVNLN) as a further generalization of the concepts of a linguistic variable, an intuitionistic linguistic set and an intuitionistic linguistic number (ILN). Then, we introduce the basic operational rules of SVNLNs and define a generalized distance measure between SVNLNs. Furthermore, we develop an extended TOPSIS method for a multiple attribute group decision making problem based on the SVNLNs under single valued neutrosophic linguistic environment. Finally, an illustrative example of investment alternatives and the comparative analysis are given to demonstrate the …application and effectiveness of the developed approach. Show more

Keywords: Single valued neutrosophic linguistic set, single valued neutrosophic linguistic number, distance measure, TOPSIS method, group decision making

DOI: 10.3233/IFS-141295

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 1, pp. 247-255, 2015

Authors: Liu, Xiaodi | Zhu, Jianjun | Zhang, Shitao | Hao, Jingjing | Liu, Guodong

Article Type: Research Article

Abstract: The linear programming technique for multidimensional analysis of preference (LINMAP) and the technique for order preference by similarity to ideal solution (TOPSIS) are two well-known methods for dealing with the multiple attribute decision making (MADM) problems. In this paper, we further extend the LINMAP to accommodate hesitant fuzzy environment and propose a new approach to solve the MADM problems with hesitant fuzzy information. Then, an integrated method that combines the LINMAP and TOPSIS is developed. In this methodology, we take advantage of the LINMAP to determine the attribute weights objectively and thus overcome the drawbacks of the TOPSIS. Meanwhile the …TOPSIS that considers both the positive ideal solution (PIS) and the negative ideal solution (NIS) can make up the disadvantages of the LINMAP. In order to measure consistency and inconsistency between the ranking order of alternatives and the decision maker's preference, two indices based on PIS and NIS are defined. Moreover, a linear programming model that can be used for minimizing the total inconsistency is constructed to determine the attribute weights. By using the TOPSIS, we obtain the most appropriate alternative. Finally, two numerical examples are given to demonstrate the implementation process of the developed approach. Show more

Keywords: Hesitant fuzzy set, multiple attribute decision making, linear programming technique for multidimensional analysis of preference (LINMAP), technique for order preference by similarity to ideal solution (TOPSIS)

DOI: 10.3233/IFS-141296

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 1, pp. 257-269, 2015

Authors: Fard, Mehdi Tadayon | Esapour, Khodakhast | Dehghan, Bahram | Zare, Alireza

Article Type: Research Article

Abstract: Economic dispatch (ED) problem is a significant and precious strategy in the power engineering to preserve the balance between the load and generation in an economic way. The practical ED incorporates a non-convex objective function with several equality and inequality nonlinear constraints. As a result, solving the practical ED requires a powerful optimizer to reach the most economic dispatch solution. This paper suggests a newly introduced algorithm called Krill Herd (KH) to solve the practical ED problem considering the valve-loading effects, prohibited operating zone, spinning reserve and multi-fuel option, optimally. Also, a new modification method based on the Levy Flight …movement is suggested to increase the convergence of the KH algorithm. The suggested algorithm is applied to two small size and one large size test system to demonstrate its high search ability. Show more

Keywords: Practical Economic Dispatch (EED), Modified Krill Herd (MKH) Algorithm, non-convex objective, valve-loading effect

DOI: 10.3233/IFS-141297

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 1, pp. 271-277, 2015

Authors: Shahraki, Alireza | Ebrahimi, Seyed Babak

Article Type: Research Article

Abstract: In this paper, we report the development of a method for forecasting enrollments at the University of Alabama using the harmony search algorithm and fuzzy time series. In recent years, researchers have proposed many methods of forecasting, including forecasting enrollments at the University of Alabama or financial markets such as FOREX. In recent research efforts, it was determined that the lengths of the intervals in the universe of discourse and forecasting rules influence the accuracy of forecasting. Some forecasting methods use meta-heuristic algorithms (such as the genetic algorithm) to determine the optimum length of the intervals in the universe of …discourse. In this paper, we propose a new, meta-heuristic algorithm (i.e., the harmony search algorithm) that is based on a high-order, fuzzy time series and overlapping intervals. In previous methods, it was assumed that the universe of discourse is partitioned into separate intervals that do not overlap. Here, it is shown that overlapping intervals in the universe of discourse can influence the accuracy of forecasted values. Show more

Keywords: Time series, forecasting, fuzzy sets, harmony search algorithm, overlapping intervals

DOI: 10.3233/IFS-141298

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 1, pp. 279-290, 2015

Authors: Abbasi, Alireza | Solookinejad, Ghahraman | Fard, Mehdi Tadayon | Zare, Ali-Reza

Article Type: Research Article

Abstract: In power systems, reliability evaluations mainly depend on the precise forecasting of the reliability parameters of the internal components. Nonetheless, the procedure of calculating the reliability parameters such as failure rate and repair rate parameters is based on the failure statistics and measurements which can cause much inherent uncertainty and thus affecting the reliability indices of the system. Therefore, the main purpose of this work is to suggest a sufficient and easy-implemented approach based on scenario production to capture the uncertainty of the reliability parameters including the failure rate and repair rate variables. Here, the scenario generation process is constructed …using the roulette wheel mechanism along with the probability density function of the random variables. Then, the proposed scenario based approach makes use of a scenario reduction mechanism to avoid high computational burden. This aspect of the proposed stochastic framework makes it useful for the optimization applications which require iterative analysis. In order to see the feasibility and satisfying performance of the proposed framework, an IEEE standard test system is used as the case study. Show more

Keywords: Scenario-based approach, uncertainty, reliability, measurements and statistics

DOI: 10.3233/IFS-141299

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 1, pp. 291-299, 2015

Authors: Bai, Shi-Zhong

Article Type: Research Article

Abstract: The purpose of this paper is to introduce the concept of generalized L-topological spaces, including to study the basic concepts of open sets, closed sets, interior and closure operators, continuous mappings, sub-spaces, quotient spaces and connectedness in generalized L-topological spaces.

Keywords: Generalized L-topology, generalized L-open set, generalized L-continuity, generalized L-connectedness

DOI: 10.3233/IFS-141300

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 1, pp. 301-309, 2015

Authors: Poornima, J. | Sivaraja, M.

Article Type: Research Article

Abstract: The key objective of this paper is to give a detailed account on rehabilitation of RC beams by means of a composite created with natural fibre called jute. For the sake of experimentation, seven under-reinforced beam specimens are cast with size of 2000 mm × 100 mm × 150 mm. One beam is permitted to perform as control specimen without any external wrapping and it is tested for its final load. The other six beams are loaded up to a pre-fixed level up to first crack. Then rehabilitation is performed by outwardly wrapping natural fibre (jute) reinforced polymer composites to …the beam under various schemes. Their feat is contrasted with beams outwardly wrapped with Glass fibre reinforced polymer composites. Beams are tested under static load condition up to failure. The load, mid-span deflection and cracking pattern are vigilantly observed and estimated for the control beam and rehabilitated beams. Show more

Keywords: Reinforced concrete, rehabilitation, natural fibre, glass fibre

DOI: 10.3233/IFS-141302

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 1, pp. 311-316, 2015

Authors: Chen, Su | Mu, Zhiming | Zeng, Shouzhen

Article Type: Research Article

Abstract: In this paper, we develop a new method for Atanassov's intuitionistic fuzzy decision making problems. We present the Atanassov's intuitionistic fuzzy probabilistic ordered weighted distance (IFPOWD) operator. Its main advantage is that it uses distance measures in a unified framework between the probability and the OWA operator that considers the degree of importance of each concept in the aggregation. Moreover, it is able to deal with uncertain environments represented in the form of Atanassov's intuitionistic fuzzy information. We analyze the applicability of this new approach in a group decision making problem concerning selection of investments.

Keywords: Probability, OWA operator, distance measures, atanassov's intuitionistic fuzzy, decision making

DOI: 10.3233/IFS-141305

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 1, pp. 317-325, 2015

Authors: Verma, Rajkumar | Sharma, BhuDev

Article Type: Research Article

Abstract: Fuzzy sets have led to study of vague phenomena. Generalizations of fuzzy sets have led to deeper analysis of these types of studies. The problem that then arises is to finding quantitative measures for vagueness and other features of these phenomena. In the present paper, based on the concept of R-norm fuzzy entropy, an R-norm intuitionistic fuzzy entropy measure is proposed in the setting of intuitionistic fuzzy set theory. This measure is a generalized version of R-norm fuzzy entropy proposed by Hooda in 2004. Some properties of this measure are proved. Finally, a numerical example is given to show that …the proposed entropy measure for intuitionistic fuzzy set is reasonable by comparing it with other existing intuitionistic fuzzy entropy measures. Show more

Keywords: R-norm entropy, R-norm fuzzy entropy, intuitionistic fuzzy sets, intuitionistic fuzzy entropy

DOI: 10.3233/IFS-141306

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 1, pp. 327-335, 2015

Authors: Husain, N.A. | Rahim, M.S.M. | Khan, A.R. | Al-Rodhaan, Mznah | Al-Dhelaan, Abdullah | Saba, T.

Article Type: Research Article

Abstract: Sub-devising a surface refers a process that is carried on polygon mesh to manufacture flat surfaces. Several subdivision schemes had been introduced before but are too consuming in terms of time and memory as it compute and render all of the vertices during the subdivision process. Adaptive subdivision, on the other hand subdivides only the required vertices of selected areas, and maintains the number of polygons for the rest of the meshes. However, the problem in this refinement operation usually happens at the upper level of the subdivision process, where the increased number of polygons led to heavy computational load. …This research proposed IteAS (Iterative Adaptive Subdivision Surface), an enhancement of the adaptive subdivision surface to tackle this problem and to further optimize memory consumption. The proposed method can reduce the number of polygons used in previous method by 9%, optimize memory consumption up to 7% and is able to produce smooth surface of 3D object. Show more

Keywords: Smooth surfaces, iterative subdivision surfaces, adaptive subdivision, area selected

DOI: 10.3233/IFS-141308

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 1, pp. 337-344, 2015

Authors: Senthil Babu, S. | Vinayagam, B.K.

Article Type: Research Article

Abstract: For a decade, surface roughness is considered as the main factor of product quality since it has a great influence on the performance of mechanical parts as well as production cost. Surface roughness has an impact on the mechanical properties like fatigue behavior, corrosion resistance, creep life, etc. There are various methods for measurement of surface roughness. They are direct measurement methods, comparison based techniques, non contact methods and on process measurement. The parameters which lead to surface roughness are cutting speed, feed rate, depth of cut, cutting environment, cutting tool wears and so on. In the drilling process, if …the speed becomes too high the tool will break and also if the speed becomes too low it will take a lot of time to complete the process and the production rate will go down. Thus, surface finish is an important factor to taken into account in the drilling process. So, it is more necessary to predict the surface roughness of the materials. A lot of researchers have been contributed in predicting the surface roughness of the materials. However, many of them failed since the input model and output categorization varies. Some of the research are ANN model for predicting surface roughness from machining parameters such as cutting speed, feed rate, and depth of cut. Another model is hybrid modeling approach, based on the group method of data handling and the differential evolution population-based algorithm, for modeling and predicting surface roughness in turning operations. But it is difficult to calculate the optimal cutting conditions for the considered material and tool. Also the neural network model coupled with the GA is proposed to determine the optimal machining for surface roughness. But, all these methods fail as there is a large variation in input model and output. Moreover, a recent research was conducted in predicting the surface roughness of materials. This predictive model of surface roughness is created by using back propagation neural network and EM (Electromagnetism) optimization algorithm is used to optimize the problem. The research showed that the EM algorithm coupled with back propagation neural network is an efficient and accurate method in obtaining the minimum of surface roughness. However, in order to further reduce the variation between input model and output, we proposed a feed forward neural network model using APSO (Adaptive particle swarm optimization) algorithm. Our proposed prediction model using APSO algorithm is a very efficient method in decreasing the variation between input model and output than the conventional PSO algorithm. Also, our proposed model minimizes the error to a greater extent than any other method. Show more

Keywords: Surface roughness, artificial neural network (ANN), particle swarm optimization (PSO) algorithm

DOI: 10.3233/IFS-141310

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 1, pp. 345-360, 2015

Authors: Izadikhah, Mohammad

Article Type: Research Article

Abstract: The evaluation and selection of the appropriate machine tools is one of the most critical decisions in the design and development of an efficient production environment and the use of fuzzy set theory allows incorporating qualitative and partially known information into the decision model. This paper describes a fuzzy goal programming method for evaluation and selection of machine tool alternatives for a manufacturing company in Iran. Our approach applied triangular numbers into traditional goal programming method, and we investigated deriving fuzzy weights of criteria from the pair-wise comparison matrix with fuzzy elements. To our knowledge, no previous work investigated such …problem with fuzzy goal programming. In almost fuzzy decision making problems other fuzzy methods like fuzzy AHP, fuzzy TOPSIS and etc. are used. And most of them obtained the crisp weights from fuzzy pair-wise decision matrix. Moreover, in this method we obtain the fuzzy weights by solving a simple linear programming. As a result of the study, we find that the proposed method is practical for ranking machine tool alternatives with respect to multiple conflicting criteria. Show more

Keywords: Machine tool selection, goal programming, fuzzy data, fuzzy weights, fuzzy pair-wise comparison matrix

DOI: 10.3233/IFS-141311

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 1, pp. 361-372, 2015

Authors: Haveshki, Masoud | Mohamadhasani, Mahboobeh

Article Type: Research Article

Abstract: We introduce the notion of α-filters in BL-algebras and then state and prove some theorems which determine the relationships of these filters and other filters in BL-algebras. Some properties of the lattice of all α-filters are investigated too.

Keywords: BL-algebra, α-filter, complete Browerian lattice, pseudocomplemented lattice, algebraic lattice

DOI: 10.3233/IFS-141313

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 1, pp. 373-382, 2015

Authors: Davodi, Abdolmohamad | Esapour, Khodakhast | Zare, Alireza | Rostami, Mohammad-Ali

Article Type: Research Article

Abstract: This paper aims to propose an effective intelligent optimization method to solve the multi-objective distribution feeder reconfiguration (DFR) problem considering distributed generations (DGs). In this regard, we introduce a novel population based algorithm based on krill herd (KH) algorithm to solve the multi-objective distribution feeder reconfiguration problem considering DG units. In order to improve the search ability of the algorithm, a new modification process is proposed too. This modification enhances the overall outcome of the KH algorithm in both search and convergence area. During the search process of the proposed modified KH (MKH) algorithm, the achieved non-dominated solutions are stored …in an external repository. Owing to distinctive objective functions, a fuzzy clustering technique is applied to control the size of the repository within the restrictions. The objective functions considered in this paper are power losses, voltage deviation of buses and total cost of the active power produced by DG units and distribution companies. In order to evaluate the feasibility and effectiveness of the method, the proposed approach is tested on a distribution test system. Show more

Keywords: Modified Krill Herd (MKH) Algorithm, multi-objective distribution feeder reconfiguration, distributed generation (DG), fuzzy clustering, non-dominated solution

DOI: 10.3233/IFS-141314

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 1, pp. 383-391, 2015

Authors: Van Hoa, Ngo | Van Tri, Phan | Dao, Tran Trong | Zelinka, Ivan

Article Type: Research Article

Abstract: In this paper, we establish the global existence and uniqueness results for fuzzy functional differential equations (FFDEs) by using two different methods. We have extended and generalized some comparison theorems and stability theorem for FFDEs with definition a new Lyapunov-like function. Some examples are given to illustrate these results.

Keywords: Fuzzy sets, fuzzy functional differential equations, strongly generalized Hukuhara derivative, stability theorems

DOI: 10.3233/IFS-141315

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 1, pp. 393-409, 2015

Authors: Hazarika, Bipan

Article Type: Research Article

Abstract: An ideal I is a family of subsets of positive integers $\mathbb{N}$ which is closed under taking finite unions and subsets of its elements. In this paper we introduce ideal convergent sequence spaces of fuzzy numbers using σ-bounded variation and Orlicz functions and study some basic topological and algebraic properties of these spaces. Finally we investigate the inclusions relations related to these spaces.

Keywords: Ideal, I-convergence, σ-bounded variation, Orlicz function

DOI: 10.3233/IFS-141317

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 1, pp. 411-420, 2015

Authors: Zare, Jafar | Zare, Alireza

Article Type: Research Article

Abstract: This article has been retracted. The pdf file of the article has been replaced with a retraction notice.

DOI: 10.3233/IFS-141318

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 1, pp. 421-431, 2015

Authors: Finotto, Vitor C. | da Silva, Wilson R. Leal | Valašek, Michael | Štemberk, Petr

Article Type: Research Article

Abstract: This paper proposes cabled-trusses benchmarks for mechanical engineering applications and provides suitable tools for modeling and optimization of cabled-trusses. These structures correspond to a system of cables and triangular bar formations jointed at their ends by hinged connections to form a rigid framework. The optimized cabled-truss is determined through a discrete optimization procedure that uses nonlinear finite element analysis, genetic algorithm, and fuzzy logic. In this work, planar and spatial trusses and cabled-trusses are optimized to achieve minimum weight designs. Also, the structural performance of the optimized structures is compared. In summary, the results show that cabled-trusses feature improvements over …trusses. Show more

Keywords: Cabled-truss, fuzzy logic, genetic algorithm, nonlinear finite element analysis, structural optimization

DOI: 10.3233/IFS-141319

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 1, pp. 433-446, 2015

Authors: Zare, Alireza | Kavousi-Fard, Abdollah | Abbasi, Alireza | Kavousi-Fard, Farzaneh

Article Type: Research Article

Abstract: With the high penetration of renewable power sources in the form of distributed generations (DGs), the amount of uncertainty in the power systems is increased greatly. This high uncertainty has affected most of the grid operation strategies including the optimal management of DGs. One significant source of uncertainty is the forecast error in the modeling of the future active and reactive load values. In order to deal with this problem, this paper suggests a new stochastic framework based on the scenario generation process and roulette wheel mechanism. This method converts the stochastic problem into a number of deterministic problems with …different probabilities. Since the problem investigated is a complex nonlinear optimization problem, a sufficient optimization algorithm based on the bio-inspired krill herd algorithm is proposed to solve the problem effectively. The satisfying performance of the proposed method is examined on the IEEE standard test system. Show more

Keywords: Uncertainty, Roulette Wheel Mechanism (RWM), krill herd algorithm, adaptive modification, Distributed Generation (DG)

DOI: 10.3233/IFS-141320

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 1, pp. 447-456, 2015

Authors: Kim, Yong Chan

Article Type: Research Article

Abstract: In this paper, we investigate the properties of join-meet preserving maps in complete residuated lattices. We define join-meet approximation operators as a generalization of fuzzy rough sets in complete residuated lattices. Moreover, we investigate the relations between join-meet preserving maps and Alexandrov fuzzy topologies. We give their examples.

Keywords: Join-meet preserving maps, join-meet approximation operators, fuzzy preorders, complete residuated lattices, Alexandrov fuzzy topologies

DOI: 10.3233/IFS-141322

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 1, pp. 457-467, 2015

Authors: Zhang, Zhihui | Wei, Fajie | Zhou, Shenghan

Article Type: Research Article

Abstract: The paper investigates the comprehensive evaluation problems with 2-tuple linguistic information. The study develops 2-tuple linguistic Maclaurin symmetric mean (2TLMSM) operator by improving Maclaurin symmetric mean (MSM) operator. The paper studies its properties and discusses its special cases. For the situations where the input arguments have different importance, the 2-tuple linguistic weighted Maclaurin symmetric mean (2TLWMSM) operator is defined based on the procedure which is developed for comprehensive evaluation problems under the 2-tuple linguistic environments. Finally, a practical example for evaluating the financial management performance is given to verify the developed approach and to demonstrate its practicality and effectiveness.

Keywords: Comprehensive evaluation, linguistic information, Maclaurin symmetric mean (MSM) operator, 2-tuple linguistic Maclaurin symmetric mean (2TLMSM) operator, 2-tuple linguistic weighted Maclaurin symmetric mean (2TLWMSM) operator

DOI: 10.3233/IFS-141323

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 1, pp. 469-475, 2015

Authors: Abiri, Ebrahim | Rashidi, Farzan

Article Type: Research Article

Abstract: This paper presents a hybrid modified binary particle swarm optimization and fuzzy system for obtaining the optimal number of PMUs which makes the power system completely observable. Observability assessment is done by means of topological observability rules. Moreover a new rule is employed which can decrease the number of required PMUs for full network observability. In all of the investigations, the effect of zero-injection buses in the power system is considered. Developed PMU placement method is illustrated using IEEE standard systems to demonstrate the effectiveness of the proposed algorithm. The results show that the whole system can be observable with …installing PMUs on less than 20% of system buses. Show more

Keywords: Phasor measurement units (PMUs), state estimation, binary linear programming, binary particle swarm optimization, fuzzy systems, power system observability

DOI: 10.3233/IFS-141324

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 1, pp. 477-483, 2015

Authors: Ma, Kaiqi | Fei, Juntao

Article Type: Research Article

Abstract: In this paper, model reference adaptive fuzzy control (MRAFC) is proposed to improve the power dynamic performance such as current tracking and total harmonic distortion (THD) for a shunt active power filter (APF). T-S fuzzy strategy is utilized on the approximation of nonlinear model of APF caused by nonlinear characteristics, variable parameters and external disturbances. Adaptive fuzzy control of the APF system consists of T-S fuzzy control item and sliding mode control item, which can enhance the robust performance of the system. Simulation results confirm the effectiveness of the proposed controller and comparisons with APF system using model reference adaptive …control (MRAC) demonstrate that MRAFC method is capable of reducing the modeling error and tracking reference current signal accurately. Moreover, APF using the proposed method shows the dynamic and static control performance of stronger robustness, better suitability and higher accuracy than the one using MRAC modus. Show more

Keywords: MRAFC, T-S fuzzy, approximation, current control, APF

DOI: 10.3233/IFS-141325

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 1, pp. 485-494, 2015