NDLI: Input selection in fuzzy rule-based classification systems

Content Provider	IEEE Xplore Digital Library
Author	Nakashima, T. Morisawa, T. Ishibuchi, H.
Copyright Year	1997
Description	Author affiliation: Dept. of Ind. Eng., Osaka Prefecture Univ., Japan (Nakashima, T.)
Abstract	Real-world pattern classification problems usually involve many attributes. In such a pattern classification problem, all attributes are not always necessary for the classification task. That is, when we design a pattern classification system, some attributes may be removable with no deterioration of its performance. The main aim of this paper is to describe how the number of attributes can be reduced when we design a fuzzy rule-based classification system. We use a simple stepwise input selection mechanism: first the most important two attributes are selected by the examination of all combinations, then the next best attribute is added sequentially. By computer simulations on well-known real-world test problems with many continuous attributes, the performance of the fuzzy rule-based classification system designed by the input selection mechanism is examined. Simulation results clearly show that a small number of selected attributes have high classification ability for many real-world test problems.
Starting Page	1457
Ending Page	1462
File Size	690561
Page Count	6
File Format	PDF
ISBN	0780337964
DOI	10.1109/FUZZY.1997.619758
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1997-07-05
Publisher Place	Barcelona
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy systems Fuzzy sets Pattern classification Knowledge based systems Testing Computer simulation Computational modeling Fuzzy reasoning Fuzzy control Control systems
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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