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
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