Title :
(Yin) (Yang) bipolar fuzzy sets
Author_Institution :
Dept. of Comput. Sci., Lamar Univ., Beaumont, TX, USA
Abstract :
A bipolar fuzzy set theory is introduced in the space {∀(x,y)|(x,y)∈[-1,0]×[0,1]}. Two types of bipolar α-cuts are proposed. Resolutions of bipolar level sets and their relationships are established. The bipolar fuzzy set theory combines both polarity and fuzziness into a unified model and therefore, provides a theoretical basis for bipolar clustering, conflict resolution, and multiagent coordination
Keywords :
fuzzy logic; fuzzy set theory; bipolar clustering; bipolar fuzzy sets; conflict resolution; fuzziness; fuzzy logic; fuzzy set theory; multiagent coordination; polarity; Computer science; Decision making; Educational institutions; Feedback; Fuzzy logic; Fuzzy set theory; Fuzzy sets; Humans; Level set; Stability;
Conference_Titel :
Fuzzy Systems Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-4863-X
DOI :
10.1109/FUZZY.1998.687599
