Journal of Intelligent & Fuzzy Systems - Volume 15, issue 2

Authors: Fons, Sumita | Achari, Gopal | Ross, Timothy

Article Type: Research Article

Abstract: Fuzzy cognitive maps are used as an automated decision aid to better assess how change in one component of a system affects the other components of the same system. To illustrate the advantage of this method, a conceptual model of an eco-industrial park is presented and the fuzzy cognitive mapping approach is used to analyze the impacts of this model. The model of the eco-industrial park is a collection of industries and companies that agree to co-exist for the …purpose of maintaining a sustainable economic posture in the use of natural resources and in the minimization of wastes. Industries such as a steam co-generation plant, an asphalt refinery, a salt cavern, a fish farm, and various feedlots are contained in this conceptual model. The impact assessment presented involves a total of 18 various kinds of interdependencies between and among these various industries. Impacts such as pollution, waste disposal, employment, transportation, available land, school facilities, population growth, and other economic issues are all considered in the assessment of the impacts the eco-industrial park will have on the local community and the economy of a region that straddles northeastern Alberta and northwestern Saskatchewan, Canada. The fuzzy cognitive mapping approach is used to analyze the intricacies of these relationships and how they are likely to affect each other. Show more

Keywords: fuzzy cognitive mapping, impact assessment, sustainable development, eco-industrial parks

Citation: Journal of Intelligent & Fuzzy Systems, vol. 15, no. 2, pp. 75-88, 2004

Authors: Monfared, M.A.S. | Yang, J.B.

Article Type: Research Article

Abstract: Techniques and concepts from fuzzy logic theory, control theory, and optimisation theory are integrated together, to provide a novel intelligent manufacturing control system that operates in real-time, and is capable of responding to both structural and order related disturbances in a fully automated manner. In this paper we further developed our previous research on a second order intelligent scheduling and control system by performing an extensive sensitivity analysis and parameter optimization in order to achieve …an optimal scheduling and control system. Show more

Keywords: intelligent manufacturing, fuzzy predictive, scheduling, optimal control, sensitivity analysis

Citation: Journal of Intelligent & Fuzzy Systems, vol. 15, no. 2, pp. 89-104, 2004

Authors: Shi, Hongjian | Kharma, Nawwaf | Ward, Rabab

Article Type: Research Article

Abstract: The subject of this paper is fuzzy linguistic hedging, used to modify membership functions. Our investigation will exceed the traditional definition given by Zadeh (and others), upon which our research is based. We will present new and more general definitions for four of the most commonly used hedges. These hedges are very, more or less, positively and negatively. The effect of applying each hedge to a membership function will be described both qualitatively and quantitatively in …this paper. We will also describe conditions under which a specific hedge is valid, chart the examples, and explore the properties of the hedge operations. A software program called FuzzyMarkx has been developed for understanding and applying the above four hedges to list of data. It is specially designed for altering school grade distributions. It allows users to view the new grades, the grade distribution as well as the graphical representation of the hedge being applied. Show more

Keywords: fuzzy sets, fuzzy operations, linguistic hedges, FuzzyMarkx, very, more or less, positively, negatively

Citation: Journal of Intelligent & Fuzzy Systems, vol. 15, no. 2, pp. 105-114, 2004

Authors: Chang, Wen-Jer | Shing, Chong-Cheng

Article Type: Research Article

Abstract: In this paper, a fuzzy controller design problem is considered for the discrete-time Takagi-Sugeno (T-S) fuzzy stochastic systems. The main purpose of this paper is to provide a systematic fuzzy controller design procedure for the discrete-time nonlinear stochastic systems, which are modeled by the T-S type fuzzy systems. A methodology is developed to find the discrete-time fuzzy controllers for minimizing upper bound control input energy and achieving state variance constraints for discrete-time T-S fuzzy stochastic …systems. It is shown that the present approach can be used to solve the linear feedback control gains for each rule of the T-S fuzzy controllers using the Linear Matrix Inequality (LMI) technique. Finally, we apply the proposed controller design method to control a truck-trailer system to show the utility of the present approach. Show more

Keywords: discrete-time takagi-sugeno fuzzy models, upper bound input energy, state variance constraints, linear matrix inequalities

Citation: Journal of Intelligent & Fuzzy Systems, vol. 15, no. 2, pp. 115-124, 2004

Authors: Carbó, Javier | Molina, José M. | Dávila, Jorge

Article Type: Research Article

Abstract: Negotiation plays a fundamental role in systems composed of multiple autonomous agents. Some negotiations may require a more elaborated dialogue where agents would explain offer rejections in a general and vague way. We propose that agents would represent their disappointment about an offer through fuzzy logic. Fuzzyness can also be very useful in order to make human-like negotiations, consequently, user profiles may become more difficult to acquire in detail. Specifically we study two alternatives: a piece-wise …fuzzy set or a linguistic label applied to each attribute of the offer. These alter-natives are evaluated comparing the performance of both types of counter-offers with a classical approach based on linear programming. Therefore, the average of negotiation length, benefits and percentage of agreements allow us to conclude the accuracy of the alternatives proposed. Show more

Citation: Journal of Intelligent & Fuzzy Systems, vol. 15, no. 2, pp. 125-131, 2004

Authors: Kreinovich, Vladik

Article Type: Book Review

Citation: Journal of Intelligent & Fuzzy Systems, vol. 15, no. 2, pp. 133-134, 2004

Authors: Kreinovich, Vladik

Article Type: Book Review

Citation: Journal of Intelligent & Fuzzy Systems, vol. 15, no. 2, pp. 135-135, 2004