A new fuzzy ratio and its application to the single input rule modules connected fuzzy inference system Jong,CH, Tay,KM and Lim,CP 2014, A new fuzzy ratio and its application to the single input rule modules connected fuzzy inference system, in FUZZ-IEEE 2014 : Proceedings of the 2014 IEEE International Conference on Fuzzy Systems, IEEE, Piscataway, N.J., pp. 1586-1590, doi: 10.1109/FUZZ-IEEE.2014.6891614. Attached Files Name Description MIMEType Size Downloads Title A new fuzzy ratio and its application to the single input rule modules connected fuzzy inference system Author(s) Jong,CH Tay,KM Lim,CP orcid.org/0000-0003-4191-9083 Conference name IEEE International Conference on Fuzzy Systems (2014 : Beijing, China) Conference location Beijing, China Conference dates 6-11 Jul. 2014 Title of proceedings FUZZ-IEEE 2014 : Proceedings of the 2014 IEEE International Conference on Fuzzy Systems Editor(s) [Unknown] Publication date 2014 Conference series IEEE International Conference on Fuzzy Systems Start page 1586 End page 1590 Total pages 5 Publisher IEEE Place of publication Piscataway, N.J. Keyword(s) fuzzy arithmetic Fuzzy ratio fuzzy weights single input rule modules connected fuzzy inference system Summary The principle of ratios has been applied to many real world problems, e.g. the part-to-part and part-to-whole ratio formulations. As it is difficult for humans to provide an exact ratio in many real situations, we introduce a fuzzy ratio in this paper. We use some notions from fuzzy arithmetic to analyze fuzzy ratios captured from humans. An application of the formulated fuzzy ratio to a Single Input Rule Modules connected Fuzzy Inference System (SIRMs-FIS) is demonstrated. Instead of using a precise weight, fuzzy sets are employed to represent the relative importance of each rule module. The resulting fuzzy weights are explained as a fuzzy ratio on a weight domain. In addition, a new SIRMs-FIS model with fuzzy weights and part-to-whole fuzzy ratio is devised. A simulated example is presented to clarify the proposed SIRM-FIS model. ISBN 9781479920723 ISSN 1098-7584 Language eng DOI 10.1109/FUZZ-IEEE.2014.6891614 Field of Research 080108 Neural, Evolutionary and Fuzzy Computation Socio Economic Objective 970109 Expanding Knowledge in Engineering HERDC Research category E1 Full written paper - refereed ERA Research output type E Conference publication Copyright notice ©2014, IEEE Persistent URL http://hdl.handle.net/10536/DRO/DU:30070581 Document type: Conference Paper Collections: Institute for Intelligent Systems Research and Innovation (IISRI) GTP Research Related Links Link Description Connect to Elements publication management system Go to link with your DU access privileges   Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Wed, 11 Mar 2015, 14:10:19 EST Thu, 12 Mar 2015, 04:04:31 EST Thu, 12 Mar 2015, 07:13:35 EST Tue, 24 Mar 2015, 15:20:25 EST Tue, 24 Mar 2015, 15:21:29 EST Wed, 25 Mar 2015, 05:08:52 EST Wed, 01 Apr 2015, 15:46:09 EST Wed, 01 Apr 2015, 15:47:31 EST Thu, 28 May 2015, 14:24:33 EST Sat, 22 Jan 2022, 01:31:45 EST Filtered Full Citation counts:   Cited 1 times in TR Web of Science Cited 1 times in Scopus Search Google Scholar Access Statistics: 442 Abstract Views, 4 File Downloads  -  Detailed Statistics Created: Tue, 24 Mar 2015, 15:21:29 EST