Title :
Generalized fuzzy logic for incomplete information
Author :
Venkata Subba Reddy, P.
Author_Institution :
Dept. of Comput. Sci. & Eng., Sri Venkateswara Univ., Tirupati, India
Abstract :
Zadeh defined fuzzy sets for incomplete information with single fuzzy membership. REN Ping has defined Generalized fuzzy set with two fold membership functions “True” and “False”. In this paper Zadeh fuzzy logic is extended to REN Ping generalize fuzzy logic for incomplete information. Generalized fuzzy logic, fuzzy inference and fuzzy reasoning are discussed using Feneralized fuzzy sets. Generalized Fuzzy Certainty Factor(GFCF) is studied as the difference of “True “ and “False” fuzzy membership functions to eliminate the conflict of evidence in Incomplete Information. The fuzzy truth variables are also discussed for Generalised fuzzy sets.
Keywords :
fuzzy logic; fuzzy reasoning; fuzzy set theory; generalisation (artificial intelligence); GFCF; REN Ping generalize fuzzy logic; Zadeh fuzzy logic; false fuzzy membership functions; fold membership functions; fuzzy inference; fuzzy reasoning; fuzzy truth variables; generalized fuzzy certainty factor; generalized fuzzy logic; generalized fuzzy set; incomplete information; single fuzzy membership; true fuzzy membership functions; Cognition; Educational institutions; Fuzzy logic; Fuzzy reasoning; Fuzzy sets; Medical diagnosis; Uncertainty; Generalized fuzzy certainty factor; Generalized fuzzy inference and reasoning; Generalized fuzzy logic;
Conference_Titel :
Fuzzy Systems (FUZZ), 2013 IEEE International Conference on
Conference_Location :
Hyderabad
Print_ISBN :
978-1-4799-0020-6
DOI :
10.1109/FUZZ-IEEE.2013.6622305
