Abstract
There are a variety of efficient approaches to solve crisp multiple objective decision making problems. However in the real life the input data may not be precisely determined because of the incomplete information. This paper deals with a multi objective facility location problem using the algorithm developed by Drezner and Wesolowski.
Highlights
In a standard multiple goal programming, goals and constraints are defined precisely
Fuzzy goal programming has the advantage of allowing for the vague aspirations of decision makers, which are quantified by some natural language rules [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18]
In a multiple goal programming problem, the optimal realization of multiple objectives is desired under a set of constraints imposed by a real life environment
Summary
In a standard multiple goal programming, goals and constraints are defined precisely. Fuzzy goal programming has the advantage of allowing for the vague aspirations of decision makers, which are quantified by some natural language rules [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18]. Narasimhan [15] introduced fuzzy set theory into objective programming. An approach for solving fuzzy multiple goal problems will be presented, and its application to a facility location problem will be discussed
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