Finding minimal solutions to the system of addition-min fuzzy relational inequalities

Yan-Kuen Wu, Ching-Feng Wen (), Yuan-Teng Hsu and Ming-Xian Wang
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Yan-Kuen Wu: Zhejiang Yuexiu University of Foreign Languages
Ching-Feng Wen: Kaohsiung Medical University
Yuan-Teng Hsu: Shanghai Business School
Ming-Xian Wang: Zhejiang Yuexiu University of Foreign Languages

Fuzzy Optimization and Decision Making, 2022, vol. 21, issue 4, No 4, 603 pages

Abstract: Abstract In the literature, a BitTorrent-like peer-to-peer file-sharing system has been modelled as a system of addition-min fuzzy relational inequalities (FRIs). Finding all minimal solutions of such a system is considered a difficult task because the minimal solutions to addition-min FRIs are usually not unique and are often infinite in number. In this paper, we study the properties of the minimal solutions of such a system and propose an iterative algorithm to find the minimal solutions for any given solution (included the maximum solution). The proposed algorithm not only finds the minimal solutions efficiently, but also finds many minimal solutions in different iterative sequences of variables.

Keywords: Minimal solution; Addition-min composition; Fuzzy relational inequality; Iterative algorithm (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s10700-021-09377-6

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