NDLI: Improved Weighted Fuzzy Reasoning Algorithm Based on Particle Swarm Optimization

Content Provider	IEEE Xplore Digital Library
Author	Su-Fang An Bo Liu Shuang Zhao Kun-Qi Liu Xiu-Feng Cai Jing-Fang Wu
Copyright Year	2007
Description	Author affiliation: Agric. Univ. of Hebei, Baoding (Bo Liu) \|\| Heibei Polytech. Univ., Tangshan (Shuang Zhao) \|\| Shijiazhuang Univ. of Econ., Shijiazhuang (Su-Fang An; Kun-Qi Liu; Xiu-Feng Cai; Jing-Fang Wu)
Abstract	This paper proposes an improved weighted fuzzy reasoning algorithm based on particle swarm optimization (PSO) for handling classification problems. Fuzzy production rules of rule-based system are used for knowledge representation, where the local and global weights appearing in the rules are represented by real values between zero and one. In order to model the overlapping existing among the rules sets corresponding to different classes, this paper proposes a new set function to draw the reasoning conclusion, with respect to a non-additive nonnegative set function and the weights of the rules determined by PSO. And the criterion of the parameters adjustment is based on maximum fuzzy entropy principle, which can overcome the shortcoming of over-fitting. An experimental investigation is performed on the UCI datasets and the encouraging result shows that the proposed algorithm based on PSO can strengthen the reasoning capability of rule-based system.
Starting Page	1304
Ending Page	1308
File Size	585932
Page Count	5
File Format	PDF
ISBN	9781424409723
DOI	10.1109/ICMLC.2007.4370346
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-08-19
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy reasoning Particle swarm optimization Knowledge based systems Machine learning algorithms Entropy Machine learning Cybernetics Fuzzy systems Production systems Knowledge representation Maximum Fuzzy Entropy Principle Weighted fuzzy reasoning Particle Swarm Optimization Overlapping
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