Title :
Equilibrium relations and bipolar fuzzy clustering
Author_Institution :
Dept. of Comput. Sci., Lamar Univ., Beaumont, TX, USA
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;
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
DOI :
10.1109/NAFIPS.1999.781715