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Solving Uncertain Problems using ANFIS

by Dr G.S.V.P.Raju, V.Mary Sumalatha, K.V.Ramani, K.V.Lakshmi
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 29 - Number 11
Year of Publication: 2011
Authors: Dr G.S.V.P.Raju, V.Mary Sumalatha, K.V.Ramani, K.V.Lakshmi
10.5120/3690-5152

Dr G.S.V.P.Raju, V.Mary Sumalatha, K.V.Ramani, K.V.Lakshmi . Solving Uncertain Problems using ANFIS. International Journal of Computer Applications. 29, 11 ( September 2011), 14-21. DOI=10.5120/3690-5152

@article{ 10.5120/3690-5152,
author = { Dr G.S.V.P.Raju, V.Mary Sumalatha, K.V.Ramani, K.V.Lakshmi },
title = { Solving Uncertain Problems using ANFIS },
journal = { International Journal of Computer Applications },
issue_date = { September 2011 },
volume = { 29 },
number = { 11 },
month = { September },
year = { 2011 },
issn = { 0975-8887 },
pages = { 14-21 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume29/number11/3690-5152/ },
doi = { 10.5120/3690-5152 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:15:32.032009+05:30
%A Dr G.S.V.P.Raju
%A V.Mary Sumalatha
%A K.V.Ramani
%A K.V.Lakshmi
%T Solving Uncertain Problems using ANFIS
%J International Journal of Computer Applications
%@ 0975-8887
%V 29
%N 11
%P 14-21
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Uncertain problems are problems that have no definitive way of solving. Many of the uncertain problems come under intelligence systems that exhibit the characteristics we associate with intelligence in human behavior. Soft Computing[6] techniques which have drawn their inherent characteristics from biological systems, present an effective method for solving of even difficult inverse problems. The guiding principle of soft computing is to exploit the tolerance for imprecision, uncertainty and partial truth to achieve tractability, robustness and low cost solution, employment of soft computing for the solution of machine learning problems lead to high machine intelligence quotient. Hybrid intelligent systems deal with the integration of two or more of the technologies. The combined use of technologies has resulted in effective problem solving in comparison with each technology used individually and exclusively. The purpose of the paper is to solve an engineering problem, power failures in personal computers using neuro fuzzy modeling system ANFIS.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Soft Computing Hybrid Intelligent Systems Robustness Neuro-Fuzzy model ANFIS

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