FUZZY APPROACH TO VECTOR OPTIMIZATION

A vector optimization problem is considered. Individual objective functions are given in an exact form. A strict rule for aggregating the preferences expressed by the objective functions is not assumed. In an exact sense the solution of the problem should be given as the set of all efficient (Pareto-optimal) solutions. Such an approach cannot be considered very practical in most real-life problems when the set of efficient solutions is even more difficult to handle then the original feasible set. There exists quite a number of processes designed to find satisfactory compromise solutions. In this paper, some of them which make use of the fuzzy sets approach are presented. © 1991, Taylor & Francis Group, LLC. All rights reserved.