NDLI: A hardware oriented fuzzification algorithm and its VLSI implementation

Content Provider	Springer Nature Link
Author	Haji Seyed Javadi, Mohammad Mahdiani, Hamid Reza Zeinali Kh, Esmaeil
Copyright Year	2012
Abstract	An efficient fuzzification algorithm named as Dynamic Precision Fuzzification (DPF) is introduced in this paper which is mainly developed for hardware implementation. The DPF which might be generally used with any piecewise linear membership function, exploits an inherent capacity of the normal fuzzification algorithm to improve its efficiency when realized in a finite-precision implementation bed such as digital VLSI. The accuracy simulation results of the DPF and normal fuzzification method are presented and compared to show the superiority of the DPF. As the word-length is the most important parameter in a finite-precision implementation environment which determines the system cost-precision trade-off, the simulation results show that DPF provides suitable precision improvements with respect to traditional fuzzification without increasing the system word-length. The VLSI synthesis results of both methods are also presented to show that this considerable accuracy improvement is achieved by an acceptable increase in its VLSI implementation costs in terms of area, delay, and power consumption with respect to traditional methods.
Starting Page	683
Ending Page	690
Page Count	8
File Format	PDF
ISSN	14327643
Journal	Soft Computing
Volume Number	17
Issue Number	4
e-ISSN	14337479
Language	English
Publisher	Springer-Verlag
Publisher Date	2012-10-05
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Cost-accuracy trade-off Fuzzification algorithm Fuzzy hardware VLSI Computational Intelligence Artificial Intelligence (incl. Robotics) Mathematical Logic and Foundations Control, Robotics, Mechatronics
Content Type	Text
Resource Type	Article
Subject	Theoretical Computer Science Software Geometry and Topology

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