Fuzzy sets in pattern recognition and machine intelligence

Mitra, Sushmita ; Pal, Sankar K. (2005) Fuzzy sets in pattern recognition and machine intelligence Fuzzy Sets and Systems, 156 (3). pp. 381-386. ISSN 0165-0114

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Official URL: http://linkinghub.elsevier.com/retrieve/pii/S01650...

Related URL: http://dx.doi.org/10.1016/j.fss.2005.05.035

Abstract

Fuzzy sets constitute the oldest and most reported soft computing paradigm. They are well-suited to modeling different forms of uncertainties and ambiguities, often encountered in real life. Integration of fuzzy sets with other soft computing tools has lead to the generation of more powerful, intelligent and efficient systems. In this position paper we seek to outline the contribution of fuzzy sets to pattern recognition, image processing, and machine intelligence over the last 40 years.

Item Type:Article
Source:Copyright of this article belongs to International Fuzzy Systems Association.
Keywords:Fuzzy Logic; Neuro-fuzzy Computing; Data Mining; Image Processing; Pattern Recognition; Bioinformatics
ID Code:26069
Deposited On:06 Dec 2010 13:09
Last Modified:17 May 2016 09:25

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