Multi-Objective Optimization Problem Involving Max-Product Fuzzy Relation Inequalities with Application in Wireless Communication

Message:
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
This paper explores a specific category of optimization management models tailored for wireless communication systems‎. ‎To enhance the efficiency of managing these systems‎, ‎we introduce a fuzzy relation multi-objective programming approach‎. ‎We define the concept of a feasible index set and present a novel algorithm‎, ‎termed the feasible index set algorithm‎, ‎which is designed to determine the optimal lexicographic solution to the problem‎, ‎demonstrating polynomial computational complexity‎. ‎Previous studies have indicated that the emission base stations within wireless communication systems can be effectively modeled using a series of fuzzy relation inequalities through max-product composition‎. ‎This topic is also addressed in our paper‎. ‎ ‎Wireless communication is widely employed across various sectors‎, ‎encompassing mobile communication and data transmission‎. ‎In this framework‎, ‎information is transmitted via electromagnetic waves generated by fixed emission base stations‎.
Language:
English
Published:
Control and Optimization in Applied Mathematics, Volume:10 Issue: 1, Winter-Spring 2025
Pages:
91 to 107
https://www.magiran.com/p2866400  
سامانه نویسندگان
  • Author (2)
    Hadi Nasseri
    Associate Professor Operations Research, University of Mazandaran, Babolsar, Iran
    Nasseri، Hadi
  • Author (3)
    Davood Darvishi Salokolaei
    Associate Professor Mathematics, Payame Noor University, Tehran, Iran
    Darvishi Salokolaei، Davood
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