NDLI: A Simple Technique for Generation and Minimization of Fuzzy Rules

Content Provider	IEEE Xplore Digital Library
Author	Zaheeruddin Jazib Anwer
Copyright Year	2005
Description	Author affiliation: Fac. of Engg. & Tech., Dept. of Electr. Eng., New Delhi (Zaheeruddin; Jazib Anwer)
Abstract	The popular techniques of rule generation from numerical data such as neural networks, genetic algorithms, and fuzzy clustering are suitable when the available data pairs are large. In case of limited available data sets, a new approach for rule generation and minimization has been proposed in the present paper. Initial rules for each data pairs are generated and conflicting rules are merged based on their degree of soundness. The minimization technique for membership functions differs from others in the sense that the two or more membership functions are not merged but replaced by a new membership function whose minimum and maximum ranges are the minimum value of the first and maximum of the last membership function and bisection point of the two or more is the peak of new membership function. The proposed scheme has been applied to predict one of the important effects (i.e. annoyance) of noise pollution on human beings. The data is based on the reports of Environmental Protection Agency (EPA) published in 1977 for the surveys conducted in several metropolitan cities of USA
Sponsorship	IEEE IEEE Neural Networks Soc
Starting Page	489
Ending Page	494
File Size	1906934
Page Count	6
File Format	PDF
ISBN	0780391594
DOI	10.1109/FUZZY.2005.1452442
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-05-25
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy systems Fuzzy control Humans Knowledge based systems Neural networks Pollution Fuzzy set theory Clustering algorithms Partitioning algorithms Learning systems
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in