Title :
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
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;
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
DOI :
10.1109/ETCS.2010.59
