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Effect of different initializations on EKM algorithm

Salaken, Syed Moshfeq, Khosravi, Abbas, Nahavandi, Saeid and Wu, Dongrui 2015, Effect of different initializations on EKM algorithm, in FUZZ-IEEE 2015: Proceedings of the IEEE International Conference on Fuzzy Systems, IEEE, Piscataway, N.J., pp. 1-6.

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Title Effect of different initializations on EKM algorithm
Author(s) Salaken, Syed Moshfeq
Khosravi, AbbasORCID iD for Khosravi, Abbas orcid.org/0000-0001-6927-0744
Nahavandi, Saeid
Wu, Dongrui
Conference name IEEE International Conference on Fuzzy Systems (2015 : Istanbul, Turkey)
Conference location Istanbul, Turkey
Conference dates 2-5 Aug. 2015
Title of proceedings FUZZ-IEEE 2015: Proceedings of the IEEE International Conference on Fuzzy Systems
Editor(s) Yazici, A.
Pal, N. R.
Kaymak, U.
Martin, T.
Ishibuchi, H.
Lin, C. T.
Sousa, J. M. C.
Tutmez, B.
Publication date 2015
Series IEEE International Fuzzy Systems Conference Proceedings
Start page 1
End page 6
Total pages 6
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) Science & Technology
Technology
Engineering, Electrical & Electronic
Engineering
FUZZY-LOGIC SYSTEMS
INTERVAL TYPE-2
DEFUZZIFICATION
CONTROLLER
SETS
UNCERTAINTY
Summary As an integral part of interval type-2 fuzzy logic system (IT2FLS), type reduction (TR) plays a vital role in determining the performance of IT2FLS. Out of many type reduction algorithms, only Karnik-Mendel type TR algorithms capture the essence of interval type-2 fuzzy sets in type reduction. Enhanced Karnik-Mendel (EKM) algorithm is the most commonly used TR algorithm. In this work, we propose three new initializations for EKM algorithm. It is shown they are performing better than EKM and one of the proposed initializations significantly outperforms others. The performance gain can be upto 40% as per comprehensive simulation results demonstrated in this paper. Our findings are justified by computational time savings and iteration requirement for switch point search.
ISBN 9781467374286
ISSN 1544-5615
Language eng
Field of Research 080108 Neural, Evolutionary and Fuzzy Computation
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2015, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30083082

Document type: Conference Paper
Collection: Centre for Intelligent Systems Research
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