DocumentCode :
2270397
Title :
Finding the efficient solutions to a multiobjective linear program with fuzzy constraints
Author :
Kelnhofer, Richard W. ; Feng, Xin
Author_Institution :
Dept. of Electr. & Comput. Eng., Marquette Univ., Milwaukee, WI, USA
fYear :
1994
fDate :
26-29 Jun 1994
Firstpage :
1911
Abstract :
This paper presents a method for obtaining the efficient solutions of a multiobjective linear programming problem over fuzzy linear constraints. The method is based on finding the set of maximally efficient solutions to a multiobjective linear program. This is accomplished by converting the fuzzy constraints into crisp constraints by adding a variable representing the degree of membership in the fuzzy feasible set. In addition, an objective function representing the maximization of this variable is augmented to the objectives of the original problem. An example is provided to illustrate the method
Keywords :
constraint theory; fuzzy set theory; linear programming; crisp constraints; efficient solutions; fuzzy linear constraints; fuzzy set theory; membership function; multiobjective linear program; objective function; Ear; Fuzzy set theory; Fuzzy sets; Linear programming; Mathematical programming; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1896-X
Type :
conf
DOI :
10.1109/FUZZY.1994.343558
Filename :
343558
Link To Document :
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