A New Algorithm for Minimizing a Linear Objective Function Subject to a System of Fuzzy Relation Equations with Max-product Composition

Jianxin Li, Gang Hu · Fuzzy Information and Engineering · 2010

In this paper, we study a problem of minimizing a linear objective function subject to a system of fuzzy relation equations with max-product composition. First, we present a standard form of an original model. Then by using the concept of chained-set suite, we educe optimal solutions of the standard form, with which we can get optimal solutions of the original model. On basis of these results, finally we get an algorithm for the studied problem, which is simple and rapid for application.

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