Knowledge representation and approximate reasoning with Type II fuzzy sets

Author

Turksen, I.B.

Author_Institution

Dept. of Ind. Eng., Toronto Univ., Ont.

Volume

4

fYear

1995

fDate

20-24 Mar 1995

Firstpage

1911

Abstract

Type II fuzzy sets are considered with the perspective of fuzzy normal forms for fuzzy knowledge representation and inference. In this perspective all of the classical laws are reinterpreted to hold as “a matter of degree”. A particular version of Type II fuzzy sets are the interval-valued fuzzy sets. Furthermore, when knowledge is represented with the interval-valued Type II fuzzy sets, fuzzy reasoning generates consequences that are interval-valued Type II fuzzy sets. A new non-specificity measure helps us assess the uncertainty content associated with interval valued Type II fuzzy sets

Keywords

fuzzy logic; fuzzy set theory; inference mechanisms; knowledge representation; uncertainty handling; Type II fuzzy sets; approximate reasoning; fuzzy reasoning; inference; interval-valued fuzzy sets; knowledge representation; uncertainty handling; Fuzzy logic; Fuzzy reasoning; Fuzzy set theory; Fuzzy sets; Industrial engineering; Knowledge representation; Measurement uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 1995. International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium., Proceedings of 1995 IEEE Int

Conference_Location

Yokohama

Print_ISBN

0-7803-2461-7

Type

conf

DOI

10.1109/FUZZY.1995.409941

Filename

409941