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
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