Multiple objective optimization for systems with addition–min fuzzy relational inequalities

Sy-Ming Guu () and Yan-Kuen Wu ()
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Sy-Ming Guu: Chang Gung University
Yan-Kuen Wu: Vanung University

Fuzzy Optimization and Decision Making, 2019, vol. 18, issue 4, No 6, 529-544

Abstract: Abstract Fuzzy relational inequalities with addition–min composition have been proposed to model the data transmission mechanism in a BitTorrent-like peer-to-peer file-sharing system. In this paper, we consider a multiple objective optimization problem which allows system manager to consider three objectives (system congestion, cost, and penalty) simultaneously. A quadratic program is then proposed for finding its efficient solutions. Numerical examples are given to illustrate the procedures of the quadratic programming approach.

Keywords: Fuzzy relational inequalities; Addition–min composition; Network congestion; Cost of transmission; Penalty cost; Quadratic programming approach (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (3)

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DOI: 10.1007/s10700-019-09306-8

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