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. Attached Files Name Description MIMEType Size Downloads Title Effect of different initializations on EKM algorithm Author(s) Salaken, Syed Moshfeq orcid.org/0000-0001-8632-2665 Khosravi, Abbas orcid.org/0000-0001-6927-0744 Nahavandi, Saeid orcid.org/0000-0002-0360-5270 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 Collections: Institute for Intelligent Systems Research and Innovation (IISRI) GTP Research Related Links Link Description   Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Wed, 27 Apr 2016, 10:19:36 EST Wed, 27 Apr 2016, 10:32:58 EST Thu, 28 Apr 2016, 05:00:46 EST Thu, 28 Apr 2016, 06:10:29 EST Thu, 19 May 2016, 14:14:25 EST Thu, 19 May 2016, 14:15:10 EST Wed, 09 Nov 2016, 11:45:37 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 3 times in Scopus Search Google Scholar Access Statistics: 588 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Wed, 27 Apr 2016, 10:32:58 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.