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Optimizing linear functions over novel fuzzy relation equations: Structure, feasibility, and global solutions

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F25%3A73634207" target="_blank" >RIV/61989592:15310/25:73634207 - isvavai.cz</a>

  • Result on the web

    <a href="https://ijfs.usb.ac.ir/article_9295_d2ec2d0216ee69fa9168ef1065a5b4c3.pdf" target="_blank" >https://ijfs.usb.ac.ir/article_9295_d2ec2d0216ee69fa9168ef1065a5b4c3.pdf</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.22111/ijfs.2025.9295" target="_blank" >10.22111/ijfs.2025.9295</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Optimizing linear functions over novel fuzzy relation equations: Structure, feasibility, and global solutions

  • Original language description

    We investigate the linear objective function optimization problem constrained by a new system of fuzzy relation equations, utilizing the minimum t-norm for fuzzy compositions. Our findings reveal that the feasible region is characterized as a finite union of closed convex cells. We provide necessary and sufficient conditions to determine the problem&apos;s feasibility. To streamline optimization, seven novel rules are proposed, on which an algorithm is based to achieve a global optimum. Notably, a specific instance of our problem is shown to be equivalent to the well-known minimal vertex cover problem. The efficacy of our algorithm is demonstrated through a concrete example.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10102 - Applied mathematics

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Iranian Journal of Fuzzy Systems

  • ISSN

    1735-0654

  • e-ISSN

  • Volume of the periodical

    22

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    IR - IRAN, ISLAMIC REPUBLIC OF

  • Number of pages

    29

  • Pages from-to

    151-179

  • UT code for WoS article

    001547238100001

  • EID of the result in the Scopus database

    2-s2.0-105011310853