نتایج جستجو برای: objective mathematical programming fuzzy goal programming

تعداد نتایج: 1300235  

Journal: :Journal of Japan Society for Fuzzy Theory and Intelligent Informatics 2008

2010
T. Hasuike H. Ishii H. Katagiri

This paper considers a general 0-1 random fuzzy programming problem including some previous 0-1 stochastic and fuzzy programming problems. The proposal problem is not a well-defined problem due to including random fuzzy variables. Therefore, by introducing chance constraint and fuzzy goal for objective function and considering the maximization for the degrees of possibility that the objective f...

2008
Takashi Hasuike Hideki Katagiri Hiroaki Ishii

This paper considers a general 0-1 random fuzzy programming problem based on the degree of necessity including some previous 0-1 stochastic and fuzzy programming problems. The proposal problem is not a well-defined problem due to including random fuzzy variables. Therefore, by introducing chance constraint and fuzzy goal for objective function, and considering the maximization for the degrees o...

Journal: :مهندسی صنایع 0
اسماعیل مهدی زاده دانشیار مهندسی صنایع، دانشکدة مهندسی صنایع و مکانیک، دانشگاه آزاد اسلامی واحد قزوین رسا قاضی زاده کارشناس ارشد مهندسی صنایع، دانشکدة مهندسی صنایع و مکانیک، دانشگاه آزاد اسلامی واحد قزوین

in this paper a non linear integrated fuzzy multi-objective production planning model with the labor learning and machines deterioration effects is presented. the objective function consists of two quantitative objectives namely increase profits and reduces the cost of system failure and a qualitative objective namely increases the satisfaction rate of the customers. different weights for objec...

This paper proposes a compromise model, based on a new method, to solve the multi-objective large-scale linear programming (MOLSLP) problems with block angular structure involving fuzzy parameters. The problem involves fuzzy parameters in the objective functions and constraints. In this compromise programming method, two concepts are considered simultaneously. First of them is that the optimal ...

2011
Pitam Singh Shiv Datt Kumar

In this article, a fuzzy goal programming (GP) and method of approximation is presented for the solution of a multiobjective linear plus linear fractional programming problem. In the proposed approach, membership functions are defined for each fuzzy goal and then a method of variable change on the underand overdeviational variables of the membership functions associated with the fuzzy goals of ...

Journal: :ECEASST 2012
Ginés Moreno Pedro J. Morcillo Jaime Penabad Carlos Vázquez

Classically, most programming languages use in a predefined way the notion of “string” as an standard data structure for a comfortable management of arbitrary sequences of characters. However, in this paper we assign a different role to this concept: here we are concerned with fuzzy logic programming, a somehow recent paradigm trying to introduce fuzzy logic into logic programming. In this sett...

2011
PITAM SINGH SHIV DATT KUMAR

This paper presents a fuzzy goal programming (GP) procedure for solving a multiobjective linear plus linear fractional programming problem. In the proposed approach GP model for achievement of the highest membership value of each of fuzzy goal defined for the linear plus linear fractional objectives is formulated. In the solution process, the method of variable change on the underand overdeviat...

2012
Hamed Rafiei

This paper addresses one of the most important issues have been considered in hybrid MTS/MTO production environments. To cope with the problem, a mathematical programming model is applied from a tactical point of view. The model is converted to a fuzzy goal programming model, because a degree of uncertainty is involved in hybrid MTS/MTO context. Finally, application of the proposed model in an ...

Journal: :Fuzzy Sets and Systems 2000
José Manuel Cadenas José L. Verdegay

Multiobjective mathematical programming problems, in particular the vector optimization problems, de ne a well known and studied area because of its relevance to numerous practical applications. In this paper vector optimization problems with a fuzzy nature are considered. In these problems usually it is assumed that all the objective functions involved come from the same decision maker. The pr...

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