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Study and Software Implementation of Variational Bayesian Approach to Mixed Deterministic/Stochastic Fuzzy Models

by Sukhvir Singh, Yogesh Mohan, Kishori Lal Bansal
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 73 - Number 4
Year of Publication: 2013
Authors: Sukhvir Singh, Yogesh Mohan, Kishori Lal Bansal
10.5120/12727-9571

Sukhvir Singh, Yogesh Mohan, Kishori Lal Bansal . Study and Software Implementation of Variational Bayesian Approach to Mixed Deterministic/Stochastic Fuzzy Models. International Journal of Computer Applications. 73, 4 ( July 2013), 8-17. DOI=10.5120/12727-9571

@article{ 10.5120/12727-9571,
author = { Sukhvir Singh, Yogesh Mohan, Kishori Lal Bansal },
title = { Study and Software Implementation of Variational Bayesian Approach to Mixed Deterministic/Stochastic Fuzzy Models },
journal = { International Journal of Computer Applications },
issue_date = { July 2013 },
volume = { 73 },
number = { 4 },
month = { July },
year = { 2013 },
issn = { 0975-8887 },
pages = { 8-17 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume73/number4/12727-9571/ },
doi = { 10.5120/12727-9571 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:39:09.127808+05:30
%A Sukhvir Singh
%A Yogesh Mohan
%A Kishori Lal Bansal
%T Study and Software Implementation of Variational Bayesian Approach to Mixed Deterministic/Stochastic Fuzzy Models
%J International Journal of Computer Applications
%@ 0975-8887
%V 73
%N 4
%P 8-17
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The study explains a new emerging methodology Variational Bayesian Inference (VB) to structure optimization of Fuzzy System (Takagi-Sugeno fuzzy system). Recently, the study of (Kumar et al. 2010 a) introduced a mixed Takagi-Sugeno fuzzy filter whose antecedents are deterministic while the consequents are random variables. The parameters of fuzzy filters are inferred under VB framework. The objective of this study is to show how computational intelligence based model contribute to the methodology of constructing models of software processes and products. The study provides detailed software implementation of Variation Bayesian approach to mixed deterministic/stochastic fuzzy models and also helps in software developments of some computational optimization algorithms based on Variational Bayesian approach. The developed MATLAB software can be used in the field of image processing, signal processing, pattern recognition, machine learning.

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Index Terms

Computer Science
Information Sciences

Keywords

Fuzzy Modeling Takagi-Sugeno Fuzzy Model Variational Bayesian Inference Stochastic Model Matlab Software

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