DocumentCode
3401078
Title
Cluster-Weighted Modeling as a Basis for Non-Additive GFM
Author
Hanmandlu, Madasu ; Verma, Nishchal K. ; Ahmad, Nesar ; Vasikarla, Shantaram
Author_Institution
Dept. of Electr. Eng., IIT-Delhi, New Delhi
fYear
2005
fDate
25-25 May 2005
Firstpage
652
Lastpage
657
Abstract
The cluster-weighted modeling (CWM) is a mixture density estimator around local models. To be specific, the input regions together with output regions are treated to be Gaussian serving as local models. These models are linked by a linear function involving the mixture of densities of local models. A connection between the CWM and generalized fuzzy model (GFM) is established in this work for utilizing the concepts of probability theory in deriving additive and non-additive fuzzy system versions of GFM
Keywords
fuzzy systems; modelling; pattern clustering; additive fuzzy system; cluster weighted modeling; density estimator; generalized fuzzy model; linear function; nonadditive GFM; nonadditive fuzzy system; probability theory; Additives; Chaos; Clustering algorithms; Density functional theory; Fuzzy systems; Kernel; Predictive models; Takagi-Sugeno model; Unsupervised learning;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 2005. FUZZ '05. The 14th IEEE International Conference on
Conference_Location
Reno, NV
Print_ISBN
0-7803-9159-4
Type
conf
DOI
10.1109/FUZZY.2005.1452471
Filename
1452471
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