Journal of Intelligent & Fuzzy Systems - Volume 25, issue 3

Authors: Hatami-Marbini, Adel | Tavana, Madjid | Saati, Saber | Kangi, Fatemeh

Article Type: Research Article

Abstract: Although crisp data are fundamentally indispensable in the conventional linear programming technique for multidimensional analysis of preference (LINMAP), the observed values in the real-world problems are often imprecise or vague. These imprecise or vague data can be suitably characterized by linguistic terms which are fuzzy in nature. LINMAP has been widely used to solve multi-attribute decision making (MADM) problems. This paper extends the conventional LINMAP model to a fuzzy group decision making framework using trapezoidal fuzzy numbers. The ranking approach is used to transform the fuzzy model into a crisp model. The fuzzy LINMAP method proposed in this paper is …a simple and effective tool for tackling the uncertainty and imprecision associated with the group MADM problems. A case study in fast food industry is presented to demonstrate the applicability of the proposed framework and exhibit the efficacy of the procedures. Show more

Keywords: LINMAP, fuzzy linear programming, multi-attribute decision making, group decision making, fast food industry

DOI: 10.3233/IFS-120678

Citation: Journal of Intelligent & Fuzzy Systems, vol. 25, no. 3, pp. 723-735, 2013

Authors: Chutia, Rituparna | Mahanta, Supahi | Datta, D.

Article Type: Research Article

Abstract: Analytical investigation of any atmospheric dispersion model for nuclear industry is very much essential from the point that the model always provides the knowledge of air quality and it guides the decision maker to play their role in applying the various protective measures to mitigate the consequence of any radiation emergency if at all it occurs. On the basis of the air quality study, health risk of any member of the public or any occupational worker can be assessed. In the context of this air quality study, deterministic analysis does not provide the correct estimate of time integrated air concentration …result as an outcome of any atmospheric dispersion model because parametric values of the model under concerned are uncertain. Uncertainty of these parameters being random as well as fuzzy, it is always essential to investigate the model with respect to both the types of the uncertainties viz. (a) aleatory uncertainty due to randomness and (b) epistemic uncertainty due to vagueness or lack of information. This article will explore an approach of uncertainty analysis of atmospheric dispersion wherein uncertainty of some parameters is represented by fuzzy set and some parameters are addressed as probabilistic and their combination is finally represented by fuzzy random variable. Due to this admixture new formalism of computing uncertainty is given a name as imprecise-probability fuzzy uncertainty modelling. New methodology of uncertainty quantification is demonstrated by a case study, in which the concentration of contaminant air during the leakage of ammonia through some industrial facility is selected as the target model. Show more

Keywords: Uncertainty, imprecise probability, cumulative distribution function, membership function, percentile

DOI: 10.3233/IFS-120680

Citation: Journal of Intelligent & Fuzzy Systems, vol. 25, no. 3, pp. 737-746, 2013

Authors: Babbar, Neetu | Kumar, Amit | Bansal, Abhinav

Article Type: Research Article

Abstract: In this paper limitations of an existing method (M. Otadi and M. Mosleh, Solving fully fuzzy matrix equations, Applied Mathematical Modelling 2012) are pointed out and to overcome these limitations a new method is proposed. To illustrate the proposed method numerical examples are solved and the obtained results are discussed.

Keywords: Fully fuzzy linear system, trapezoidal fuzzy numbers, fully fuzzy matrix equation

DOI: 10.3233/IFS-120681

Citation: Journal of Intelligent & Fuzzy Systems, vol. 25, no. 3, pp. 747-753, 2013

Authors: Tsai, Chih-Fong | Chen, Zong-Yao

Article Type: Research Article

Abstract: Many companies focus on how the product concept crosses through the fuzzy front end (FFE) of the final gate to become a new product development (NPD) project. Evaluation of product concepts is a gamble in that a wrong decision to enter the product development process may waste time and money. Although analytic hierarchy process (AHP) and some of its extension methods are widely used for this purpose, their processes consist of pairwise comparisons, meaning that multiple criteria easily confuse judgments and hinder evaluation for decision-makers in practice. Therefore, this study proposes a 2-tuple fuzzy linguistic computing analysis based on fuzzy …set theory and multi-criteria decision-making (MCDM) to solve this problem. The criteria for product concept selection are completely displayed in an evaluation hierarchy from the theoretical perspective. An illustrative example of a product concept evaluation model is used to demonstrate the proposed methodology. The results indicate that it is an effective approach to prioritizing potential NPD projects from a set of feasible product concepts under budget constraints in FFE. In addition, it is feasible to manipulate the evaluation processes by computers, which can reduce the time and mistakes of information translation, and avoid information loss through computing with words. Show more

Keywords: Product concept, fuzzy front end (FFE), new product development (NPD) project, 2-tuple fuzzy linguistic, multi-attribute decision-making problems (MCDM)

DOI: 10.3233/IFS-120682

Citation: Journal of Intelligent & Fuzzy Systems, vol. 25, no. 3, pp. 755-770, 2013

Authors: Ngo, Long Thanh

Article Type: Research Article

Abstract: Triangulated irregular network (TIN) has used to represent 3-dimensional surfaces by dividing domain into irregular sub-triangles and approximately represent using piecewise linear functions. Hence, TIN are also used to approximately represent membership functions of general type-2 fuzzy sets for reducing computational complexity. To support speed-up in computation of operations of type-2 fuzzy sets, a refinement CTIN is proposed by combining contour model and constraint Delaunay criteria. So a type-2 fuzzy set is also represented by RCTIN in the same way. The paper deals with the use RCTIN to represent general type-2 fuzzy sets. On the basis of RCTIN representation theorem, …algorithms for operations and general type-2 fuzzy logic systems (GT2FLS) are proposed. A T2FLS is designed and implemented in comparing previous approaches under an application of obstacle avoidance of robot navigation. Show more

Keywords: Type-2 fuzzy sets, fuzzy inference, type-2 fuzzy logic systems, robot navigation, triangulated irregular network

DOI: 10.3233/IFS-120683

Citation: Journal of Intelligent & Fuzzy Systems, vol. 25, no. 3, pp. 771-784, 2013

Authors: Jamkhaneh, Ezzatallah Baloui | Gildeh, Bahram Sadeghpour

Article Type: Research Article

Abstract: In this paper we introduce a new sequential sampling plan based on sequential probability ratio test for fuzzy hypotheses testing. In order to deal with uncertainty happened, the triangular fuzzy number (TFN) is used to express the fuzzy phenomenon of the sampling plan's parameters. In this plan the acceptable quality level (AQL) and the lot tolerance percent defective (LTPD) are TFN. For such a plan, we design a decision criterion of acceptance and rejection for every arbitrary λ-cut and a particular table of rejection and acceptance is calculated. This plan is well defined, since, if the parameters are crisp, it …changes to a classical plan. Show more

Keywords: Sequential sampling plan, fuzzy number, acceptable quality level, lot tolerance percent defective

DOI: 10.3233/IFS-120684

Citation: Journal of Intelligent & Fuzzy Systems, vol. 25, no. 3, pp. 785-791, 2013

Authors: Varnamkhasti, M. Jalali

Article Type: Research Article

Abstract: Premature convergence is an important problem in evolutionary algorithms, in particular genetic algorithm. The diversity of the population is a very influence paprameter on premature convergence in genetic algorithm. In this paper, we attempt to improve the performance of genetic algorithms by providing a bi-linear allocation lifetime approach to label the chromosomes based on their fitness values. These labales applied within a set of fuzzy rules and adaptive neuro-fuzzy inference system genetic algorithm to select suitable sexual chromosomes for recombination. We have evaluated the proposed technique on several numerical functions by comparing its performance to the basic genetic algorithm. The …results of our initial experiments demonstrate a clear advantage of the adaptive neuro-fuzzy inference system genetic algorithm over the other techniques. Show more

Keywords: Adaptive neuro-fuzzy inference system, genetic algorithm, sexual selection

DOI: 10.3233/IFS-120685

Citation: Journal of Intelligent & Fuzzy Systems, vol. 25, no. 3, pp. 793-796, 2013

Authors: Öztürk, Veysi

Article Type: Research Article

Abstract: Selection of appropriate Software Development Life Cycle(s) can increase projects success. Depending on the selected SDLC (Software Development Life Cycle), one can decrease development time/cost, minimize overhead and risk exposure, manage uncertainty, improve quality, promote client relations, and provide better project tracking and control. Despite the benefits of using suitable SDLC(s), it is generally difficult to select the most appropriate one. There is not enough information in the literature about the criteria and how to take them into account to select appropriate SDLC(s). Frequently used SDLCs and their comparative properties were elicited from literature, Internet and experts according to the …criteria to select appropriate SDLC(s). A Fuzzy Logic (FL) system was developed according to the elicited knowledge about the criteria and their affect on selecting suitable SDLCs in various cases. Fuzzy input/output variables, membership functions and fuzzy rules were defined and generated according to the elicited knowledge. The FL system was tested for various inputs and improved according to the test results. Show more

Keywords: Software development life cycle, SDLC, fuzzy logic, software life cycle models, waterfall, spiral, iterative, incremental, agile, prototyping

DOI: 10.3233/IFS-120686

Citation: Journal of Intelligent & Fuzzy Systems, vol. 25, no. 3, pp. 797-810, 2013

Authors: Hassani, Kaveh | Nahvi, Ali | Ahmadi, Ali

Article Type: Research Article

Abstract: In this paper, a general architecture is proposed for developing embodied conversational agents with fuzzy ontology knowledge base. The proposed architecture enables agents to interact with the user via multimodal channels in a virtual reality environment for the purpose of language learning. The agents play the role of emotional, rational, and friendly partners who provide a specific domain of knowledge based on user's queries in natural language. These queries are performed by an optimized fuzzy search engine. Two scenarios including two virtual airports and a virtual electronic gadget shop are implemented in this architecture to improve users' oral skills. The …results show the users' average oral skills improved 11%. Moreover, 80% of the users ranked agents' logical sequence of actions and the total speed of responses as very good, and 90% of them evaluated agents' appropriateness of responses as very good based on Likert scale. Show more

Keywords: Intelligent virtual environment, embodied conversational agent, fuzzy ontology

DOI: 10.3233/IFS-120687

Citation: Journal of Intelligent & Fuzzy Systems, vol. 25, no. 3, pp. 811-823, 2013

Authors: Yao, Kai | Chen, Xiaowei

Article Type: Research Article

Abstract: Uncertain differential equation is a type of differential equation driven by canonical process. In this paper, a concept of α-path to uncertain differential equation is first introduced, which is a type of deterministic function that solves an associate ordinary differential equation. Then, a numerical method is designed for solving uncertain differential equations, which essentially solves each α-path and produces an inverse uncertainty distribution of the solution. To illustrate the efficiency of the numerical method, several examples are given.

Keywords: Uncertain differential equation, numerical solution, uncertainty theory

DOI: 10.3233/IFS-120688

Citation: Journal of Intelligent & Fuzzy Systems, vol. 25, no. 3, pp. 825-832, 2013