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Please use this identifier to cite or link to this item: http://eprint.iitd.ac.in/handle/2074/2038

Title: Cluster-weighted modeling as a basis for fuzzy modeling
Authors: Hanmandlu, M
Madasu, V K
Vasikarla, S
Keywords: cluster-weighted modeling
generalized fuzzy model
Issue Date: 2003
Citation: Information Technology: Coding and Computing Computers and Communications Proceedings ITCC International Conference on, 627 - 634p.
Abstract: Cluster-weighted modeling (CWM) is emerging as a versatile tool for modeling dynamical systems. It 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 or non-linear function involving the mixture of densities of local models. The present work shows a connection between the CWM and generalized fuzzy model (GFM) thus paving the way for utilizing the concepts of probability theory in the fuzzy domain that has already emerged as a versatile tool for solving problems in uncertain dynamic systems.
URI: http://eprint.iitd.ac.in/dspace/handle/2074/2038
Appears in Collections:Electrical Engineering

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