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
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;
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
DOI :
10.1109/IWISA.2009.5072928
