An algorithm for minimizing a linear objective function subject to the fuzzy relation inequalities with addition–min composition

In this paper, we study the optimal solution of minimizing a linear objective function subject to the fuzzy relation inequalities with addition–min composition. We first discuss some properties about the minimal solutions of fuzzy relation inequalities with addition–min composition, and define the p...

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Bibliographic Details
Published in:Fuzzy sets and systems 2014-11, Vol.255, p.41-51
Main Author: Yang, Shao-Jun
Format: Article
Language:English
Subjects:
Fuzzy relation inequalities
Pseudo-minimal index
The minimal solutions
The optimal solution
The optimization system
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Summary:In this paper, we study the optimal solution of minimizing a linear objective function subject to the fuzzy relation inequalities with addition–min composition. We first discuss some properties about the minimal solutions of fuzzy relation inequalities with addition–min composition, and define the pseudo-minimal indexes of this system. Next we give an algorithm to get the set of the pseudo-minimal indexes, which is called PMI algorithm. Finally, we obtain an algorithm for this optimization system by utilizing these concepts and results. The example is provided to show that our algorithm is simple and convenient.
ISSN:0165-0114
1872-6801
DOI:10.1016/j.fss.2014.04.007