NDLI: Cost-Performance Co-Analysis in VLSI Implementation of Existing and New Defuzzification Methods

Content Provider	IEEE Xplore Digital Library
Author	Banaiyan, A. Mahdiani, H.R. Fakhraie, S.M.
Copyright Year	2006
Description	Author affiliation: Silicon Intelligence & VLSI Signal Process. Lab., Tehran Univ. (Banaiyan, A.; Mahdiani, H.R.; Fakhraie, S.M.)
Abstract	In this paper, three novel defuzzification methods are presented which are appropriate for low-cost hardware implementations. An elaborate set of ten different defuzzification methods including our three newly-proposed ones are introduced. The C models for all of these methods are prepared for the accuracy-analysis simulations. The HDL models are also developed and synthesized to analyze the implementation cost of each method. This makes it possible to compare the accuracy of these different methods while considering their VLSI implementation costs. The accuracy analysis simulations are performed on six different sets of output fuzzy membership functions with various features to achieve more general and reliable results. A two-dimensional diagram of cost-accuracy analysis is introduced which helps the designers to choose the defuzzification method which best suits their application
Sponsorship	IEEE Comput Intelligence Soc. Eur. Soc. for Fuzzy Logic and Technol. Eur. Neural Networks Soc. Int. Assoc. for Fuzzy Set in Manage. and Economy Japan Soc. for Fuzzy Theor. and Soc. for Fuzzy Theor. and Intelligent Informatics Taiwan Fuzzy Syst. Assoc. World Wide Web Bus. Intelligence Hungarian Fuzzy Assoc. Univ. of Canberra
Starting Page	828
Ending Page	833
File Size	319403
Page Count	6
File Format	PDF
ISBN	0769525040
DOI	10.1109/CIMCA.2005.1631367
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-11-28
Publisher Place	Austria
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy control Analytical models Costs Power demand Power engineering computing Very large scale integration Hardware Fuzzy set theory Application software Fuzzy systems
Content Type	Text
Resource Type	Article

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