Generalized fuzzy logic for incomplete information

Author

Venkata Subba Reddy, P.

Author_Institution

Dept. of Comput. Sci. & Eng., Sri Venkateswara Univ., Tirupati, India

fYear

2013

fDate

7-10 July 2013

Firstpage

1

Lastpage

6

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems (FUZZ), 2013 IEEE International Conference on

Conference_Location

Hyderabad

ISSN

1098-7584

Print_ISBN

978-1-4799-0020-6

Type

conf

DOI

10.1109/FUZZ-IEEE.2013.6622305

Filename

6622305