• DocumentCode
    3025820
  • Title

    Equilibrium relations and bipolar fuzzy clustering

  • Author

    Zhang, Wen-Ran

  • Author_Institution
    Dept. of Comput. Sci., Lamar Univ., Beaumont, TX, USA
  • fYear
    1999
  • fDate
    36342
  • Firstpage
    361
  • Lastpage
    365
  • Abstract
    Equilibrium relations bipolar fuzzy sets are introduced. Equilibrium relations are bipolar reflexive, symmetrical, and transitive. It is proved that: (1) crisp equilibrium relations induce hard partitions of harmony sets, coalition sets, and conflict sets; and (2) fuzzy equilibrium relation induces fuzzy harmony, coalition, and conflict sets which can be either disjoint or overlapped. Conditions for disjoint bipolar fuzzy partitioning are established with fuzzy equilibrium relations. It is shown that crisp equilibrium relations and fuzzy equilibrium relations are natural generalizations of classical equivalence relations and fuzzy similarity relations, respectively. It is illustrated that equilibrium relations can be used for bipolar clustering
  • Keywords
    equivalence classes; fuzzy logic; fuzzy set theory; pattern clustering; bipolar fuzzy clustering; bipolar reflexive; classical equivalence relations; coalition sets; conflict sets; crisp equilibrium relations; disjoint bipolar fuzzy partitioning; equilibrium relations bipolar fuzzy sets; fuzzy equilibrium relation; fuzzy harmony; fuzzy similarity relations; hard partitions; harmony sets; natural generalizations; Boolean algebra; Clustering algorithms; Computer science; Database systems; Educational institutions; Fuzzy logic; Fuzzy set theory; Fuzzy sets; Partitioning algorithms; Space technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Information Processing Society, 1999. NAFIPS. 18th International Conference of the North American
  • Conference_Location
    New York, NY
  • Print_ISBN
    0-7803-5211-4
  • Type

    conf

  • DOI
    10.1109/NAFIPS.1999.781715
  • Filename
    781715