• DocumentCode
    8018
  • Title

    A Note on Fuzzy Relational Equations With Min-Implication Composition

  • Author

    Pingke Li

  • Author_Institution
    Dept. of Ind. Eng., Tsinghua Univ., Beijing, China
  • Volume
    21
  • Issue
    5
  • fYear
    2013
  • fDate
    Oct. 2013
  • Firstpage
    983
  • Lastpage
    986
  • Abstract
    The fuzzy relational equations with min-implication composition are considered, where the implication operation involved is the residuum with respect to the minimum operation. The solution set of such a system of equations, whenever nonempty, can be characterized by a minimum solution and finitely many maximal solutions. It is shown that a system of fuzzy relational equations with min-implication composition can be reformulated in polynomial time into a system of 0-1 mixed integer linear inequalities, and consequently, the structure of its solution set can be revealed in a succinct manner. Besides, it is shown that the determination of all maximal solutions is polynomially reducible to the transversal hypergraph generation problem, of which some practically well-performed algorithms are available.
  • Keywords
    computational complexity; fuzzy systems; integer programming; linear programming; 0-1 mixed integer linear inequalities; fuzzy relational equations; implication operation; min-implication composition; polynomial time; transversal hypergraph generation problem; Fuzzy sets; Indexes; Mathematical model; Optimization; Polynomials; Vectors; Fuzzy relational equations; maximal solutions; transversal hypergraph generation;
  • fLanguage
    English
  • Journal_Title
    Fuzzy Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6706
  • Type

    jour

  • DOI
    10.1109/TFUZZ.2013.2239649
  • Filename
    6410020