DocumentCode
1605065
Title
Context dependent information aggregation
Author
Filev, Dimitar P. ; Yager, Ronald R.
Author_Institution
Ford Motor Co., Detroit, MI, USA
Volume
1
fYear
2003
Firstpage
672
Abstract
This paper describes a new method for automatic generation of OWA operators. It introduces a Takagi-Sugeno type model to link the process of selecting the OWA weights to the data being aggregated. A parameterized and cardinality independent type of OWA weighting vector is obtained through an analytically expression of the OWA operator as a function of the derivatives of an S-curve. These results lead to a context dependent information aggregation method.
Keywords
data mining; decision making; fuzzy set theory; pattern clustering; query processing; sensor fusion; S-curve derivatives; Takagi-Sugeno type model; automatic generation; cardinality independent weighting vector; context dependent information aggregation; decision making; information fusion; linear mapping; multiple model structure; ordered weighted operators; parameterized weighting vector; soft computing; Decision making; Educational institutions; Electronic mail; Fuzzy systems; Genetic algorithms; Machine intelligence; Neural networks; Open wireless architecture; Takagi-Sugeno model; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 2003. FUZZ '03. The 12th IEEE International Conference on
Print_ISBN
0-7803-7810-5
Type
conf
DOI
10.1109/FUZZ.2003.1209444
Filename
1209444
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