A Summary and Update of “Fuzzy Logic”

Author

Zadeh, Lotfi A.

Author_Institution

Dept. of EECS, Univ. of California, Berkeley, CA, USA

fYear

2010

fDate

14-16 Aug. 2010

Firstpage

42

Lastpage

44

Abstract

What is fuzzy logic and what does it have to offer? There are many misconceptions about fuzzy logic. To begin with, fuzzy logic is not fuzzy. Fuzzy logic is precise. Basically, fuzzy logic is a precise logic of imprecision. More concretely, fuzzy logic is a system of reasoning and computation in which the objects of reasoning and computation are classes with unsharp boundaries. Fundamentally, unsharpness of class boundaries may be equated to fuzziness. Fuzziness of human concepts is a pervasive facet of human cognition. Everyday examples are the concepts of red, small, near, fast, heavy, similar, etc. Fuzzy logic may be viewed as a wide-ranging generalization of the classical, Aristotelian, bivalent logic. In bivalent logic, no degrees of truth are allowed. In multivalued logic, degrees of truth are allowed. Fuzzy logic goes far beyond. In fuzzy logic everything is or is allowed to be a matter of degree. Furthermore, the degrees are allowed to be fuzzy.

Keywords

fuzzy logic; bivalent logic; fuzzy logic; multivalued logic; precise logic; system of reasoning; wide ranging generalization; Cognition; Elasticity; Fuzzy logic; Fuzzy sets; Natural languages; Pragmatics; Probabilistic logic; Fuzziness; computing with words; precisiation of meaning;

fLanguage

English

Publisher

ieee

Conference_Titel

Granular Computing (GrC), 2010 IEEE International Conference on

Conference_Location

San Jose, CA

Print_ISBN

978-1-4244-7964-1

Type

conf

DOI

10.1109/GrC.2010.144

Filename

5576262