Title :
Context dependent information aggregation
Author :
Filev, Dimitar P. ; Yager, Ronald R.
Author_Institution :
Ford Motor Co., Detroit, MI, USA
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;
Conference_Titel :
Fuzzy Systems, 2003. FUZZ '03. The 12th IEEE International Conference on
Print_ISBN :
0-7803-7810-5
DOI :
10.1109/FUZZ.2003.1209444
