A new framework with similarity reasoning and monotone fuzzy rule relabeling for fuzzy inference systems Tay, Kai Meng, Pang, Lie Meng, Jee, Tze Ling and Lim, Chee Peng 2013, A new framework with similarity reasoning and monotone fuzzy rule relabeling for fuzzy inference systems, in FUZZ-IEEE 2013 : Proceedings of the IEEE International Conference on Fuzzy Systems, IEEE, Piscataway, N.J., pp. 1-8. Attached Files Name Description MIMEType Size Downloads Title A new framework with similarity reasoning and monotone fuzzy rule relabeling for fuzzy inference systems Author(s) Tay, Kai Meng Pang, Lie Meng Jee, Tze Ling Lim, Chee Peng orcid.org/0000-0003-4191-9083 Conference name Fuzzy Systems. IEEE International Conference (2013 : Hyderabad, India) Conference location Hyderabad, India Conference dates 7-10 Jul. 2013 Title of proceedings FUZZ-IEEE 2013 : Proceedings of the IEEE International Conference on Fuzzy Systems Editor(s) [Unknown] Publication date 2013 Conference series IEEE International Conference on Fuzzy Systems Start page 1 End page 8 Total pages 8 Publisher IEEE Place of publication Piscataway, N.J. Keyword(s) fuzzy inference system monotonicity property fuzzy rule relabeling application frameworks failure mode and effect analysis Summary A complete and monotonically-ordered fuzzy rule base is necessary to maintain the monotonicity property of a Fuzzy Inference System (FIS). In this paper, a new monotone fuzzy rule relabeling technique to relabel a non-monotone fuzzy rule base provided by domain experts is proposed. Even though the Genetic Algorithm (GA)-based monotone fuzzy rule relabeling technique has been investigated in our previous work [7], the optimality of the approach could not be guaranteed. The new fuzzy rule relabeling technique adopts a simple brute force search, and it can produce an optimal result. We also formulate a new two-stage framework that encompasses a GA-based rule selection scheme, the optimization based-Similarity Reasoning (SR) scheme, and the proposed monotone fuzzy rule relabeling technique for preserving the monotonicity property of the FIS model. Applicability of the two-stage framework to a real world problem, i.e., failure mode and effect analysis, is further demonstrated. The results clearly demonstrate the usefulness of the proposed framework. Language eng Field of Research 089999 Information and Computing Sciences not elsewhere classified Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences HERDC Research category E1 Full written paper - refereed Copyright notice ©2013, IEEE Persistent URL http://hdl.handle.net/10536/DRO/DU:30057152 Document type: Conference Paper Collections: Institute for Intelligent Systems Research and Innovation (IISRI) GTP Research   Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Wed, 23 Oct 2013, 10:00:40 EST Wed, 23 Oct 2013, 14:37:28 EST Thu, 31 Oct 2013, 10:30:33 EST Tue, 03 Dec 2013, 15:18:40 EST Wed, 04 Dec 2013, 07:39:17 EST Wed, 04 Dec 2013, 07:40:05 EST Wed, 21 Oct 2015, 14:52:10 EST Sat, 22 Jan 2022, 01:32:03 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 5 times in Scopus Search Google Scholar Access Statistics: 504 Abstract Views, 4 File Downloads  -  Detailed Statistics Created: Wed, 23 Oct 2013, 10:00:40 EST