A Linear Programming Approach for Minimizing a Linear Function Subject to Fuzzy Relational Inequalities With Addition-Min Composition

  • Sy Ming Guu
  • , Yan Kuen Wu

Research output: Contribution to journalJournal Article peer-review

60 Scopus citations

Abstract

In this paper, we study an optimization problem of minimizing a linear function subject to fuzzy relational inequalities with the addition-min composition. This optimization setting has recently been proposed to model the network cogestion issue when a BitTorrent-like peer-to-peer file-sharing system is used for data transmission. In a 2014 paper, a pseudominimal index (PMI)-based approach was proposed to search for an optimal solution. It turns out that the PMI-based approach may require to solve several to many linear programming problems in order to get an optimal solution. In this paper, we point out that the feasible domain is indeed convex. And we only need to solve a single linear programming problem to generate an optimal solution for the original optimization problem. Furthermore, our approach could be extended to the case with a nonlinear continuous objective function.

Original languageEnglish
Article number7517335
Pages (from-to)985-992
Number of pages8
JournalIEEE Transactions on Fuzzy Systems
Volume25
Issue number4
DOIs
StatePublished - 08 2017

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

  • Addition-min composition
  • fuzzy relational inequalities
  • linear programming approach
  • network congestion

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