NDLI: Genetic tuning for improving wang and Mendel's fuzzy database

Content Provider	IEEE Xplore Digital Library
Author	Kato, E.R.R. Morandin, O. Sgavioli, M. Muniz, B.D.
Copyright Year	2009
Description	Author affiliation: Department of Computer Science, Federal University of São Carlos (UFSCar), São Carlos, Brasil (Kato, E.R.R.; Morandin, O.; Sgavioli, M.; Muniz, B.D.)
Abstract	This paper aims to use the Genetic Tuning, an evolutionary approach to improving an existing fuzzy database of a fuzzy system, which the rule base is generated by example, through fitness function manipulation. Evolutionary Computing is shown efficient for solving problems where the solution space is too large and its complete analyses is computationally unfeasible. The evolutionary solution will be applied in the adjustment of fuzzy sets generated by the Wang and Mendel's method. Wang and Mendel's method high performance has been clearly demonstrated. Although, inducing genetic tuning, a better set of parameters of the database can be achieved. Our proposal is to find a better representation of the input data attributes and find a minimum distance between the original output of the data set and the output given by the Wang and Mendel's method keeping a good interpretability of the sets and improving the accuracy of the system. To analyze the performance we will use tree different data set, considering Real Coding Scheme to chromosome codification.
Starting Page	1015
Ending Page	1020
File Size	344462
Page Count	6
File Format	PDF
ISBN	9781424427932
ISSN	1062922X
DOI	10.1109/ICSMC.2009.5346036
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-10-11
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Databases Fuzzy systems Fuzzy sets Genetic algorithms Biological cells Genetic mutations Fuzzy logic Cybernetics USA Councils Computer science Wang and Mendel's method genetic tuning fuzzy database
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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