Paper Details: Downloads: 414
Serial Number: P1120618101
Title: Non-additive Generalized Fuzzy System under the Framework of Cluster Weighted Model
Authors: Nishchal K. Verma and M. Hanmandlu
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 and a case study1 is given to illustrate the importance.
Keywords: GFM, GMM, CWM, EM Theory, Nonadditive fuzzy system.
Journal/Conference: ICGST Conference on Artificial Intelligence and Machine Learning, AIML-06
Volume:
Issue:
Submission Date: 4/1/2006 12:00:00 AM
Review Date: 4/30/2006 12:00:00 AM
Publishing Date: 5/13/2006 12:00:00 AM
Article Downloads: 414
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