نتایج جستجو برای: Fuzzy multiobjective game

تعداد نتایج: 199406  

Hamid Bigdeli Hassan Hassanpour

The multiobjective two person matrix game problem with fuzzy payoffs is considered in this paper. It is assumed that fuzzy payoffs are triangular fuzzy numbers. The problem is converted to several multiobjective matrix game problems with interval payoffs by using the $alpha$-cuts of fuzzy payoffs. By solving these problems some $alpha$-Pareto optimal strategies with some interval outcomes are o...

A multiobjective security game problem with fuzzy payoffs is studied in this paper. The problem is formulated as a bilevel programming problem with fuzzy coefficients. Using the idea of nearest interval approximation of fuzzy numbers, the problem is transformed into a bilevel programming problem with interval coefficients. The Karush-Kuhn-Tucker conditions is applied then to reduce the problem ...

2014
Abdullah Konak David W. Coit Alice E. Smith Ashish Ghosh Satchidananda Dehuri Mochamad Hariadi Mauridhi Hery Bo Zhao

Power flow control and transmission loss minimization model with TCSC for practical power networks " , in proc. Purnomo, " Fuzzy clustering based on multiobjective optimization problem for decision support of non player character in serious game " ,

2012
Sankar Kumar Roy Chandan Bikash Das

Here, we propose a mathematical model to analyze bimatrix game under entropy environment. In this new approach, the entropy function for each player are considered as objectives to the bimatrix game. This formulated model is named as Entropy Bimatrix Game Model which is a multi-objective non linear problem. To solve this kind of model, we have introduced a new solution technique, which determin...

2010
ANDRE A. KELLER

This paper introduces to the computational techniques of non-cooperative bimatrix games in an uncertain environment. Both single and multiple objective fuzzy-valued bimatrix games are considered theoretically with one numerical example. The presentation is centered on the Nishizaki and Sakawa models. These models are based on the maxmin and minmax principles of the classical matrix game theory....

2009
ANDRE A. KELLER

This paper introduces to the computational techniques of non-cooperative bimatrix games in an uncertain environment. Both single and multiple objective fuzzy-valued bimatrix games are considered theoretically with one numerical example. The presentation is centered on the Nishizaki and Sakawa models. These models are based on the maxmin and minmax principles of the classical matrix game theory....

Journal: :international journal of information science and management 0
h.r. maleki ph.d. , department of basic sciences shiraz university of technology m. mashinchi ph.d. , faculty of mathematics and computer sciences shahid bahonar university of kerman

generally, an engineering design problem has multiple objective functions. some of these problems can be formulated as multiobjective geometric programming models. on the other hand,often in the real world, coefficients of the objective functions are not known precisely. coefficients may be interpreted as fuzzy numbers, which lead to a multiobjective geometric programming with fuzzy parameters....

2013
Hemanta Kumar Bhuyan Narendra Kumar Kamila Santosh Kumar Rath Monalisa Mishra

This paper proposed a information sharing technique maintaining privacy preservation in distributed data mining. The theoretical principles proposed to develop information sharing technique to find the best choice of objective for goal of the game with distributed manner. The multi-objective evaluation method among the parties data based on best and worst solution has implemented at center of t...

Journal: :iranian journal of fuzzy systems 2013
maryam zangiabadi hamid reza maleki

the linear multiobjective transportation problem is a special type of vector minimum problem in which constraints are all equality type and the objectives are conicting in nature. this paper presents an application of fuzzy goal programming to the linear multiobjective transportation problem. in this paper, we use a special type of nonlinear (hyperbolic and exponential) membership functions to ...

2009
Antonio A. Márquez Francisco Alfredo Márquez Antonio Peregrín

In this paper, we present an evolutionary multiobjective learning model achieving positive synergy between the Inference System and the Rule Base in order to obtain simpler, more compact and still accurate linguistic fuzzy models by learning fuzzy inference operators together with Rule Base. The Multiobjective Evolutionary Algorithm proposed generates a set of Fuzzy Rule Based Systems with diff...

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