Optimization of gaussian fuzzy membership functions and evaluation of the monotonicity property of fuzzy inference systems

Tay, Kai Meng and Lim, Chee Peng 2011, Optimization of gaussian fuzzy membership functions and evaluation of the monotonicity property of fuzzy inference systems, in FUZZ 2011 : Proceedings of the IEEE International Conference on Fuzzy Systems, IEEE Computer Society, Los Alamitos, Calif., pp. 1219-1224.

Attached Files
Name Description MIMEType Size Downloads

Title Optimization of gaussian fuzzy membership functions and evaluation of the monotonicity property of fuzzy inference systems
Author(s) Tay, Kai Meng
Lim, Chee Peng
Conference name International Conference on Fuzzy Systems (2011 : Taipei, Taiwan)
Conference location Taipei, Taiwan
Conference dates 27-30 Jun. 2011
Title of proceedings FUZZ 2011 : Proceedings of the IEEE International Conference on Fuzzy Systems
Editor(s) [Unknown]
Publication date 2011
Conference series International Conference on Fuzzy Systems
Start page 1219
End page 1224
Total pages 6
Publisher IEEE Computer Society
Place of publication Los Alamitos, Calif.
Keyword(s) fuzzy inference system
gaussian membership functions
monotonicity property
monotonicity testing
sufficient conditions
Summary In this paper, two issues relating to modeling of a monotonicity-preserving Fuzzy Inference System (FIS) are examined. The first is on designing or tuning of Gaussian Membership Functions (MFs) for a monotonic FIS. Designing Gaussian MFs for an FIS is difficult because of its spreading and curvature characteristics. In this study, the sufficient conditions are exploited, and the procedure of designing Gaussian MFs is formulated as a constrained optimization problem. The second issue is on the testing procedure for a monotonic FIS. As such, a testing procedure for a monotonic FIS model is proposed. Applicability of the proposed approach is demonstrated with a real world industrial application, i.e., Failure Mode and Effect Analysis. The results obtained are analysis and discussed. The outcomes show that the proposed approach is useful in designing a monotonicity-preserving FIS model.
ISBN 1424473152
9781424473151
ISSN 1098-7584
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 E1.1 Full written paper - refereed
Copyright notice ©2011, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30048729

Document type: Conference Paper
Collection: Institute for Frontier Materials
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: Scopus Citation Count Cited 7 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 34 Abstract Views, 3 File Downloads  -  Detailed Statistics
Created: Wed, 26 Sep 2012, 09:12:52 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.