Approximate Reasoning Based on Interval-valued Intuitionistic Fuzzy Sets

Author

Zhang, Qiansheng ; Huang, Yirong ; Yao, Haixiang ; Jiang, ShengYi

Author_Institution

Sch. of Inf. Sci. & Technol., Guangdong Univ. of Foreign Studies, Guangzhou, China

Volume

1

fYear

2010

fDate

6-7 March 2010

Firstpage

374

Lastpage

377

Abstract

This paper presents a new approximate reasoning method based on interval-valued intuitionistic fuzzy sets ( IvIFSs), where the fuzzy terms in the production rules of rule-based system are represented by IvIFSs rather than interval-valued fuzzy sets or ordinary fuzzy sets. The proposed method is more flexible than the ones presented in. Moreover, it can be executed much faster since it requires only simple arithmetic operations.

Keywords

fuzzy logic; fuzzy set theory; inference mechanisms; approximate reasoning; arithmetic operation; fuzzy term; interval-valued intuitionistic fuzzy set; production rule; rule-based system; Computer science education; Educational technology; Fuzzy reasoning; Fuzzy set theory; Fuzzy sets; Fuzzy systems; In vitro fertilization; Information science; Paper technology; Production systems; Approximate reasoning; Interval valued intuitionistic fuzzy set; Production rule; Similarity measure;

fLanguage

English

Publisher

ieee

Conference_Titel

Education Technology and Computer Science (ETCS), 2010 Second International Workshop on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-6388-6

Electronic_ISBN

978-1-4244-6389-3

Type

conf

DOI

10.1109/ETCS.2010.59

Filename

5458863