Title :
Association analysis with interval valued fuzzy sets and body of evidence
Author :
Chen, Ping ; de Korvin, Andre ; Hu, Chenyi
Author_Institution :
Dept. of Comput. & Math. Sci., Univ. of Houston, Houston, TX, USA
fDate :
6/24/1905 12:00:00 AM
Abstract :
Association analysis is proven to be one of the most useful techniques in data mining to analyze large datasets. We apply association analysis to fuzzy datasets and show how it works in decision making processes. We define three fundamental concepts: belief, compatibility, and plausibility for association analysis in terms of fuzzy logic. We further extend our study on association analysis with interval valued fuzzy sets and body of evidence. Applications with sample data are discussed
Keywords :
data mining; decision theory; fuzzy logic; fuzzy set theory; probability; association analysis; belief; body of evidence; compatibility; data mining; decision making process; fuzzy datasets; fuzzy logic; interval valued fuzzy sets; plausibility; Association rules; Data analysis; Data mining; Databases; Decision making; Fuzzy logic; Fuzzy sets; Fuzzy systems; Humans; Itemsets;
Conference_Titel :
Fuzzy Systems, 2002. FUZZ-IEEE'02. Proceedings of the 2002 IEEE International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7280-8
DOI :
10.1109/FUZZ.2002.1005044
