ICGST- AIML Journal

AIML Volume 06 - Issue (II) ICGST
Non-additive Generalized Fuzzy System under the Framework of Cluster Weighted Model
Nishchal K. Verma, M. Hanmandlu
Department of Electrical Engineering, Indian Institute of Technology Delhi, New Delhi 110016, India
http://www.iitd.ac.in

Abstract:

The Cluster-Weighted Modeling (CWM) is amixture 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.

(Full Paper 458KB)

BibTex:

@ARTICLE{P1120618101,

AUTHOR = {Nishchal K. Verma, M. Hanmandlu},

TITLE = {Non-additive Generalized Fuzzy System under the Framework of Cluster Weighted Model},

JOURNAL ={The International Journal of Artificial Intelligence and Machine Learning},

YEAR = {2006},

VOLUME = {6},

ISSUE ={2},

PAGES={27--33} 

}

(Full Paper 458KB)