Latticized linear programming subject to max-product fuzzy relation inequalities with application in wireless communication

In this paper we introduce the latticized linear programming problem subject to max-product fuzzy relation inequalities with application in the optimization management model of wireless communication emission base stations. Resolution of max-product fuzzy relation inequalities is studied by comparin...

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Bibliographic Details
Published inInformation sciences Vol. 358-359; pp. 44 - 55
Main Authors Yang, Xiao-Peng, Zhou, Xue-Gang, Cao, Bing-Yuan
Format Journal Article
LanguageEnglish
Published Elsevier Inc 01.09.2016
Subjects
Emission
Fuzzy
Fuzzy relation equation
Fuzzy relation inequality
Inequalities
Latticized linear programming
Linear programming
Mathematical analysis
Mathematical models
Max-product composition
Min-max programming
Optimization
Wireless communication
Wireless communication
Latticized linear programming
Min-max programming
Fuzzy relation equation
Fuzzy relation inequality
Max-product composition
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Summary:In this paper we introduce the latticized linear programming problem subject to max-product fuzzy relation inequalities with application in the optimization management model of wireless communication emission base stations. Resolution of max-product fuzzy relation inequalities is studied by comparing with that of the corresponding max-product fuzzy relation equations. A solution matrix approach is developed for solving the proposed problem without finding all the (quasi-) minimal solutions of the constraint. For carrying out the solution matrix approach, we provide a step-by-step algorithm illustrated by a numerical example.
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ISSN:0020-0255
1872-6291
DOI:10.1016/j.ins.2016.04.014