نتایج جستجو برای: multiobjective fuzzy optimization

تعداد نتایج: 402622  

2005
Juan Carlos Leyva López Miguel Angel Aguilera-Contreras

The multiple criteria aggregation methods allow us to construct a recommendation from a set of alternatives based on the preferences of a decision maker. In some approaches, the recommendation is immediately deduced from the preferences aggregation process. When the aggregation model of preferences is based on the outranking approach, a special treatment is required, but some non-rational viola...

Journal: :IEEE Trans. Industrial Electronics 2001
Wallace Kit-Sang Tang Kim-Fung Man Guanrong Chen Sam Kwong

This paper introduces an optimal fuzzy proportional–integral–derivative (PID) controller. The fuzzy PID controller is a discrete-time version of the conventional PID controller, which preserves the same linear structure of the proportional, integral, and derivative parts but has constant coefficient yet self-tuned control gains. Fuzzy logic is employed only for the design; the resulting control...

2012
Takeshi Matsui Masatoshi Sakawa Kosuke Kato Koichi Tamada

In general nonlinear programming problems to find a solution which minimizes an objective function under given constraints, one whose objective function and constraint region are convex is called a convex programming problem. For such convex programming problems, there have been proposed many efficient solution method as the successive quadratic programming method and the general gradient metho...

Journal: :Artif. Intell. Research 2013
Masatoshi Sakawa Takeshi Matsui Hideki Katagiri

This paper considers multiobjective linear programming problems where each coefficient of the objective functions is expressed by a random fuzzy variable. A new decision making model is proposed by incorporating the concept of fractile criteria optimization into a possibilistic programming model. An interactive fuzzy satisficing method is presented for deriving a satisficing solution for a deci...

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: :Computer Communications 1998
Emad Aboelela Christos Douligeris

Routing algorithms are required to guarantee the various quality-of-service (QoS) characteristics requested by the wide range of applications supported by Broadband Integrated Services Digital Networks (B-ISDNs). In this paper the routing problem is formulated as a fuzzy multiobjective optimization model. The fuzzy approach allows for the inclusion and evaluation of several criteria simultaneou...

2008
Francisco J. Martínez-López Jorge Casillas

This paper is the result of an interdisciplinary research between the marketing and the artificial intelligence fields. It briefly presents a brand new methodology to be applied in marketing (causal) modeling. Specifically, we apply it to a consumer behavior model used for the experimentation. The characteristics of the problem (with uncertain data and available knowledge from a marketing exper...

2008
Jorge Casillas Francisco J. Martínez-López

This publication is the fruit of a collaborative research between academics from the marketing and the artificial intelligence fields. It presents a brand new methodology to be applied in marketing (causal) modeling. Specifically, we apply it to a consumer behavior model used for the experimentation. The characteristics of the problem (with uncertain data and available knowledge from a marketin...

Journal: :رادار 0
مریم صالحی یاسر مقصودی محمودرضا صاحبی

land cover classification is one of the most important applications of polarimetric radar images, especially in urban areas. there are numerous features that can be extracted from these images for the use of their high potential, hence feature selection plays an important role in polsar image classification. in this study, three main steps are used to improve the classification: 1) feature extr...

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