Computationally efficient active rule detection method: Algorithm and architecture

Authors:
Mahdi Hamzeh;Hamid Reza Mahdiani;Ahmad Saghafi;Sied Mehdi Fakhraie;Caro Lucas
Affiliations:
Silicon Intelligence and VLSI Signal Processing Laboratory, School of Electrical and Computer Engineering, University of Tehran, North Kargar Ave., Tehran 14395-515, Iran;Silicon Intelligence and VLSI Signal Processing Laboratory, School of Electrical and Computer Engineering, University of Tehran, North Kargar Ave., Tehran 14395-515, Iran and Computer and Electron ...;Silicon Intelligence and VLSI Signal Processing Laboratory, School of Electrical and Computer Engineering, University of Tehran, North Kargar Ave., Tehran 14395-515, Iran;Silicon Intelligence and VLSI Signal Processing Laboratory, School of Electrical and Computer Engineering, University of Tehran, North Kargar Ave., Tehran 14395-515, Iran;Center of Excellence for Control and Intelligent Processing, University of Tehran, Iran and School of Cognitive Science, IPM, Iran
Venue:
Fuzzy Sets and Systems
Year:
2009

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Abstract

In this paper, a new active rule detection algorithm is proposed which is efficiently implemented in dedicated fuzzy processors. Here, its advantages are analytically attested. A novel realization architecture is proposed that has higher performance and uses lower hardware resources in comparison to the other reported architectures. The structure of the proposed active rule detection unit is scalable in terms of the number of inputs, the number of membership functions and their bit widths. The proposed architecture is flexible in term of membership function shape as well.