Weighted fuzzy interpolative reasoning based on interval type-2 fuzzy sets

Author

Lee, Li-wei ; Chen, Shyi-Ming

Author_Institution

Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei

Volume

6

fYear

2008

fDate

12-15 July 2008

Firstpage

3379

Lastpage

3384

Abstract

In this paper, we present a weighted fuzzy interpolative reasoning method for sparse fuzzy rule-based system based on interval type-2 fuzzy sets. Based on the ranking values of interval type-2 fuzzy sets, we present a weighted fuzzy interpolative reasoning method for sparse fuzzy rule-based systems. We also use an example to illustrate the proposed weighted fuzzy interpolative reasoning method based on interval type-2 fuzzy sets. The proposed method provides us a useful way to deal with weighted fuzzy interpolative reasoning based on the ranking values of interval type-2 fuzzy sets.

Keywords

fuzzy set theory; inference mechanisms; interpolation; knowledge based systems; interval type-2 fuzzy sets; sparse fuzzy rule-based system; weighted fuzzy interpolative reasoning; Computer science; Cybernetics; Fuzzy reasoning; Fuzzy sets; Fuzzy systems; Knowledge based systems; Machine learning; Fuzzy interpolative reasoning; Interval type-2 fuzzy sets; Ranking values; Weighted fuzzy interpolative reasoning;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2008 International Conference on

Conference_Location

Kunming

Print_ISBN

978-1-4244-2095-7

Electronic_ISBN

978-1-4244-2096-4

Type

conf

DOI

10.1109/ICMLC.2008.4620988

Filename

4620988