DocumentCode
2039260
Title
Interval-Valued Fuzzy Reasoning with Interval-Valued Fuzzy Truth
Author
Zhang, Qian-sheng ; Jiang, Sheng-Yi
Author_Institution
Sch. of Inf. Sci. & Technol., Guangdong Univ. of Foreign Studies, Guangzhou
fYear
2009
fDate
23-24 May 2009
Firstpage
1
Lastpage
4
Abstract
In this paper, a new similarity measure between interval-valued fuzzy sets (IvFSs) is presented. By using the proposed measure, we can formulate a new method for interval- valued fuzzy(IvF) reasoning with interval-valued fuzzy truth. At last, a weighted IvF reasoning method with IvF truth is also developed by considering the weight factor of each variable in the antecedent of IvF rule contributing to the consequent.
Keywords
fuzzy reasoning; fuzzy set theory; interval-valued fuzzy reasoning; interval-valued fuzzy sets; interval-valued fuzzy truth; Artificial intelligence; Fuzzy logic; Fuzzy reasoning; Fuzzy set theory; Fuzzy sets; In vitro fertilization; Information science;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-3893-8
Electronic_ISBN
978-1-4244-3894-5
Type
conf
DOI
10.1109/IWISA.2009.5072928
Filename
5072928
Link To Document