Lexicographic optimal solution of the multi-objective programming problem subject to max-product fuzzy relation inequalities

It is shown in this paper that the emission base stations in wireless communication can be reduced into a system of fuzzy relation inequalities with max-product composition. For optimal management in such system, we introduce the fuzzy relation multi-objective programming. Concept of feasible index...

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Published inFuzzy sets and systems Vol. 341; pp. 92 - 112
Main Authors Yang, Xiao-Peng, Yuan, De-Hui, Cao, Bing-Yuan
Format Journal Article
LanguageEnglish
Published Elsevier B.V 15.06.2018
Subjects
Feasible index set
Fuzzy relation equation
Fuzzy relation inequality
Lexicographic order
Multi-objective programming
Wireless communication
Wireless communication
Feasible index set
Fuzzy relation equation
Multi-objective programming
Lexicographic order
Fuzzy relation inequality
Online AccessGet full text
ISSN0165-0114
1872-6801
DOI10.1016/j.fss.2017.08.001

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Abstract It is shown in this paper that the emission base stations in wireless communication can be reduced into a system of fuzzy relation inequalities with max-product composition. For optimal management in such system, we introduce the fuzzy relation multi-objective programming. Concept of feasible index set (FIS) is defined, based on which a novel algorithm, named FIS algorithm, is developed to find the unique lexicographic optimal solution of the proposed problem with polynomial computational complexity. Applying this method, we needn't to find out all the minimal solutions of the constraint. A numerical application example is provided to illustrate the feasibility and efficiency of the FIS algorithm.
AbstractList It is shown in this paper that the emission base stations in wireless communication can be reduced into a system of fuzzy relation inequalities with max-product composition. For optimal management in such system, we introduce the fuzzy relation multi-objective programming. Concept of feasible index set (FIS) is defined, based on which a novel algorithm, named FIS algorithm, is developed to find the unique lexicographic optimal solution of the proposed problem with polynomial computational complexity. Applying this method, we needn't to find out all the minimal solutions of the constraint. A numerical application example is provided to illustrate the feasibility and efficiency of the FIS algorithm.
Author Yuan, De-Hui
Cao, Bing-Yuan
Yang, Xiao-Peng
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Keywords Wireless communication
Feasible index set
Fuzzy relation equation
Multi-objective programming
Lexicographic order
Fuzzy relation inequality
Language English
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SSID ssj0001160
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Snippet It is shown in this paper that the emission base stations in wireless communication can be reduced into a system of fuzzy relation inequalities with...
SourceID crossref
elsevier
SourceType Enrichment Source
Index Database
Publisher
StartPage 92
SubjectTerms Feasible index set
Fuzzy relation equation
Fuzzy relation inequality
Lexicographic order
Multi-objective programming
Wireless communication
Title Lexicographic optimal solution of the multi-objective programming problem subject to max-product fuzzy relation inequalities
URI https://dx.doi.org/10.1016/j.fss.2017.08.001
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