Journal of Intelligent & Fuzzy Systems - Volume 31, issue 3

Authors: Veeramani, C. | Sumathi, M.

Article Type: Research Article

Abstract: Fuzzy Linear Fractional Programming problem has been used as an important planning tool for the different disciplines such as engineering, business, finance, economics, etc. In this paper, a new algorithm is developed to solve the Fuzzy Linear Fractional programming Problem (FLFPP) where the cost of the objective function, the resources and the technological coefficients are triangular fuzzy numbers. For this, the FLFPP is transformed into an equivalent deterministic Multi Objective Linear Fractional Programming Problem (MOLFPP) and solved them each objective function. From the obtained solutions, we define an imprecise and aspiration level for each objectives. Hence, the objectives are transformed …as fuzzy goal. Then the goal programming approach is used to achieve the highest degree of each of the membership goals by minimizing their deviational variables. Finally, two real examples and one case study problem will be used to illustrate our algorithm and compare it with the existing method. Show more

Keywords: Triangular fuzzy number, linear programming problem, multi objective linear programming problem, goal programming

DOI: 10.3233/JIFS-15712

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 3, pp. 1831-1843, 2016

Authors: Liu, Jian | Zhang, X.X.

Article Type: Research Article

Abstract: With the increase of massive data, a large number of business applications began to seek effective and scalable frameworks for data storages and processing. Under this background, emerging technologies for big data, such as Hadoop-based systems that use scalable distributed storage system HBase, become available. Since most of business data nowadays are stored in relational databases, and information imprecision and uncertainty widely exist in real-world applications, there is an increasing willingness to manage large-scale fuzzy relational data in the Hadoop-based platform. This paper concentrates on fuzzy information modeling in HBase. In particular, we investigate the formal transformation from the fuzzy …relational data model to the HBase model and develop a set of mapping rules to assist in the transformation process. In addition, we present a generic approach to transform the fuzzy relational algebra into the fuzzy HBase manipulation language. Show more

Keywords: HBase, fuzzy relational data, modeling, mapping

DOI: 10.3233/JIFS-15899

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 3, pp. 1845-1857, 2016

Authors: Hou, Shixi | Fei, Juntao

Article Type: Research Article

Abstract: This paper proposed an adaptive fuzzy state feedback controller for a three-phase active power filter (APF) based on a Takagi-Sugeno (T-S) fuzzy model. The T-S fuzzy model is based on the APF dynamic model in the dq frame, which ensures that the current control dynamic and DC capacitor voltage dynamic become decoupled. By using the parallel distributed compensation (PDC), local linear state feedback controller could be designed for each T-S fuzzy sub-model. To deal with the parametric uncertainties and external disturbances, a parameter estimation scheme for tuning the parameters of T-S fuzzy model is designed and the parameters are adjusted …online by the adaptive law derived from the Lyapunov stability analysis. Simulation studies demonstrate that the proposed control method exhibit excellent performance in both steady state and transient operation during balanced and unbalanced load, and source voltage. Show more

Keywords: T-S fuzzy, active power filter, parameter estimation, Lyapunov stability analysis

DOI: 10.3233/JIFS-15997

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 3, pp. 1859-1868, 2016

Authors: Akbaş, Serkan | Dalkiliç, Türkan Erbay

Article Type: Research Article

Abstract: Multi-criteria decision making method is used in such cases having multiple targets. Multi-objective linear programming problems, which deal with uncertain measurements for both objectives and constraints, are solved by fuzzy multi-objective linear programming methods. Analytic hierarchy process (AHP), one of the multi-criteria decision-making methods based on weighting of objectives, is designed to solve complex problems. In this study, multiple criteria decision making problems and decision makers’ opinions on these problems as well as their solution processes are discussed. Firstly, a fuzzy multi objective linear programming problem is solved using the approaches of Zimmerman and Hybrid. In the literature, these methods …are applied using triangular fuzzy numbers based on decision makers’ opinions only in cases where the objective function is minimization. In this study, as an alternative to the triangular fuzzy numbers, trapezoidal fuzzy numbers are defined, and both minimization and maximization of objective functions are examined. Finally, a solution algorithm for a fuzzy multi-objective linear programming problem is proposed under some given conditions. The algorithm is applied to a sample problem that involves modeling of a congress organizing which aims to place attendees to accommodations under specific objectives and constraints. In the evaluation phase of the algorithm, targets are weighted by using triangular and trapezoidal fuzzy numbers. At the end, the results of the proposed algorithm are compared with the results of other methods in the literature. Show more

Keywords: Analytic hierarchy process, fuzzy multi-objective linear programming, trapezoidal fuzzy numbers

DOI: 10.3233/JIFS-16041

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 3, pp. 1869-1879, 2016

Authors: Shahzadi, Sundas | Akram, Muhammad

Article Type: Research Article

Abstract: In this research article, we present a novel frame work for handling intuitionistic fuzzy soft information by combining the theory of intuitionistic fuzzy soft sets with graphs. We present the concepts of intuitionistic fuzzy soft graphs, regular intuitionistic fuzzy soft graphs and irregular intuitionistic fuzzy soft graphs. We illustrate these concepts by describing several examples. We investigate some of their related properties. We introduce the notion of edge regular intuitionistic fuzzy soft graphs and present some of their interesting properties. We also present an application of intuitionistic fuzzy soft graphs in decision-making.

Keywords: Regular intuitionistic fuzzy soft graphs, irregular intuitionistic fuzzy soft graph, edge regular intuitionistic fuzzy soft graphs, decision-making

DOI: 10.3233/JIFS-16120

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 3, pp. 1881-1895, 2016

Authors: Jamwal, Prashant K. | Hussain, Shahid

Article Type: Research Article

Abstract: Robotic devices can be potentially used to assist physical therapy treatments in order to restore musculoskeletal system malfunctions owing to neurological disorders. Cable actuated parallel robots, despite their obvious benefits such as enhanced workspace, light weight, and flexibility, are not popularly used in ankle rehabilitation treatments, due to their complex mechanism and cable actuation issues. In order to address these issues, it is recommended to carry out robot design optimization. However, design synthesis of the cable actuated parallel ankle robot calls for multi-objective optimization (MOO), since there are multiple and conflicting objectives to achieve. To acquire more choices between actuator …forces, overall stiffness of robot (which is crucial for a cable based ankle robot) and other vital design objectives, it is required to explore the extreme ends of the Pareto Front (PF) more carefully. Existing multi-objective evolutionary algorithms (MOEAs) normally focus on the convergence and may not provide solutions at the extremities of PF. Capitalizing on this improvement opportunity, this paper presents a fuzzy based MOEA, namely, biased fuzzy sorting genetic algorithm (BFSGA) which encourages solutions in the extreme zones of the PF. It is shown in this paper that using proposed method, diversity in the populations is supported and in the process wider trade-off choices of objectives can be obtained. During ankle robot design optimization, crisp objectives are defined as fuzzy objectives and competing solutions are provided an overall activation score (OAS). Subsequently OAS is used to assign a fuzzy dominance ranking to the design solutions. It is found that the BFSGA approach performs well in exploring the extreme zones of the Pareto front, which are normally overlooked by other MOEA such as NSGA-II due to their inherent mechanism. Show more

Keywords: Ankle robot, parallel mechanism, rehabilitation, design optimization, fuzzy methods

DOI: 10.3233/JIFS-16030

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 3, pp. 1897-1908, 2016

Authors: Yuan, Jiahang | Li, Cunbin | Xu, Fangqiu | Sun, Baojun | Li, Wenle

Article Type: Research Article

Abstract: The main purpose of this paper is to research the multi-attribute group decision making (MAGDM) problems with interval-valued hesitant fuzzy numbers based on the confidence level. In this paper, we provide the confidence level of decision-making information which is applicable to put forward an optimized weight solution. Then we define the interval-valued intuitionistic hesitant fuzzy operator to aggregate decision information combing the φs transformation and Choquet integral. Taking the disadvantage of ranking by distance into account, we propose a ranking approach using the interval-valued intuitionistic hesitant fuzzy entropy. Finally, an illustrative example has been made to demonstrate the validity …and feasibility of the proposed method. Show more

Keywords: Interval-valued intuitionistic hesitant fuzzy numbers, confidence levels, Choquet integral, φs transformation

DOI: 10.3233/JIFS-16092

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 3, pp. 1909-1919, 2016

Authors: Gong, Yanbing | Dai, Liangliang | Hu, Na

Article Type: Research Article

Abstract: Determining the ordered weighted averaging (OWA) operator weights is important in decision making applications. Several approaches have been proposed in the literature to obtain the associated weights. This paper provides two new disparity models to obtain the associated weights, which is determined by considering the absolute deviation and relative deviation of any distinct pairs of weights. The proposed mathematical models improve the existing minimize disparity approach and chi-square method, which is suggested by Amin and Emrouzenjad (2006, 2010) and Wang (2007). A numerical example and an application in search engines prove the usefulness of the generated OWA operator weights.

Keywords: OWA operator, absolute difference, relative difference

DOI: 10.3233/JIFS-16108

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 3, pp. 1921-1927, 2016

Authors: Altunkaynak, Abdusselam | Elmazoghi, Hasan G.

Article Type: Research Article

Abstract: Neuro-fuzzy (NF) systems were applied to develop a new model for enhancing the prediction accuracy of breach formation time of embankment dams (t f ), which is widely recognized to have uncertainty and affects the accuracy of dam breaks simulations. NF is based on expert knowledge which is trained by a learning algorithm derived from neural network theory and defined by a set of IF-THEN rules, each of which establishes a local linear input-output relationship between the variables of the model. The erodibility of the embankment material, the height of water and volume of water above the breach invert …were taken as the input variables that contribute to t f . Historical data from 45 embankment dam failures were randomly divided into two sets and used to train and test the performance of the developed model. Two models, without and with inclusion of the erodibility as input variable, were addressed. To train the models two different output types with ten different combinations of input fuzzy sets were examined. Therefore, 40 different NF models were investigated in order to obtain the best model that adequately resembles the observed t f values of the testing dataset. The results of the NF model were also compared with the results of the best available regression models (RM) and a recent gene expression programming (GEP). Three statistical evaluation parameters were used to evaluate the results of the models. Test results show the potential of the developed NF model which performed better than the available RM and GEP. Show more

Keywords: Breach time, dam breach, embankment, erodibility, neuro-fuzzy

DOI: 10.3233/JIFS-16115

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 3, pp. 1929-1940, 2016

Authors: Bhardwaj, Amit Kumar | Gajpal, Yuvraj | Singh, Maninder

Article Type: Research Article

Abstract: Integrated Network Traffic Visualization System (INTVS) is a security system used for decision making against the malicious traffic. This paper presents usage of fuzzy fault tree analysis (FFTA) technique to get the reliability of INTVS. Fault-tree analysis incorporates the trapezoidal fuzzy numbers and minimal cut sets (MCSS) approach for reliability assessment of INTVS. The analysis performed in this paper can be used to calculate reliability of network security system. A case study is demonstrated to calculate the reliability of INTVS security system, which is implemented in Thapar University, India.

Keywords: Security system, fuzzy reliability analysis, fuzzy fault tree analysis, integrated network traffic visualization system, trapezoidal fuzzy number

DOI: 10.3233/JIFS-16128

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 3, pp. 1941-1953, 2016