DocumentCode :
2315331
Title :
Strengthening fuzzy gradual rules through “all the more” clauses
Author :
Bouchon-Meunier, Bernadette ; Laurent, Anne ; Lesot, Marie-Jeanne ; Rifqi, Maria
Author_Institution :
Univ. Pierre et Marie Curie - Paris 6, Paris, France
fYear :
2010
fDate :
18-23 July 2010
Firstpage :
1
Lastpage :
7
Abstract :
Fuzzy gradual rules of the form the more X is A, the more Y is B linguistically express information about the correlation between attributes and their co-variation. They thus provide valuable information summarizing the trends observed in a given data set. In this paper, we consider strengthened fuzzy gradual rules, i.e. gradual rules enriched with a clause introduced by the expression “all the more”: such rules of the form the more X is A, the more Y is B, all the more Z is C offer additional precisions on the relation between the attributes. We study the definition of such strengthened rules, discussing their possible semantics, considering several interpretations of fuzzy gradual rules. We then propose quality criteria as well as a mining algorithm.
Keywords :
data mining; fuzzy set theory; fuzzy gradual rules; information summarization; mining algorithm; quality criteria; Association rules; Correlation; Equations; Itemsets; Regression analysis; Semantics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems (FUZZ), 2010 IEEE International Conference on
Conference_Location :
Barcelona
ISSN :
1098-7584
Print_ISBN :
978-1-4244-6919-2
Type :
conf
DOI :
10.1109/FUZZY.2010.5584858
Filename :
5584858
Link To Document :
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