Dynamic rule structuring based on rule-activation sensitivity analysis

Pertselakis, M; Stafylopatis, A

dc.contributor.author	Pertselakis, M	en
dc.contributor.author	Stafylopatis, A	en
dc.date.accessioned	2014-03-01T02:43:13Z
dc.date.available	2014-03-01T02:43:13Z
dc.date.issued	2005	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31311
dc.subject	Confidence Measure	en
dc.subject	Fuzzy Neural Network	en
dc.subject	Fuzzy Rules	en
dc.subject	Hierarchical Structure	en
dc.subject	Sensitivity Analysis	en
dc.subject	Soft Computing	en
dc.subject.other	Computational methods	en
dc.subject.other	Fuzzy control	en
dc.subject.other	Hierarchical systems	en
dc.subject.other	Neural networks	en
dc.subject.other	Robustness (control systems)	en
dc.subject.other	Sensitivity analysis	en
dc.subject.other	Fuzzy neural network	en
dc.subject.other	Fuzzy rules	en
dc.subject.other	Hierarchical structure	en
dc.subject.other	Soft computing	en
dc.subject.other	Data structures	en
dc.title	Dynamic rule structuring based on rule-activation sensitivity analysis	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/CIMCA.2005.1631293	en
heal.identifier.secondary	http://dx.doi.org/10.1109/CIMCA.2005.1631293	en
heal.identifier.secondary	1631293	en
heal.publicationDate	2005	en
heal.abstract	In the field of soft computing the need of more flexible, fast and robust approaches is evident. The main idea behind this paper is the construction of sets of fuzzy rules with a hierarchical structure derived from data. The appropriate set is then applied on demand. Instead of rule pruning or rule refinement, we propose a way that sorts the total of rules of a well-trained fuzzy neural network in order of significance and creates prioritized rule sets using sensitivity analysis, A confidence measure indicates the appropriate set to be utilized at any given time. Experiments in benchmark classification tasks prove that this method does not only reduce computational cost, but it also maintains performance at the same levels, offering fast processing during real-time operations. © 2005 IEEE.	en
heal.journalName	Proceedings - International Conference on Computational Intelligence for Modelling, Control and Automation, CIMCA 2005 and International Conference on Intelligent Agents, Web Technologies and Internet	en
dc.identifier.doi	10.1109/CIMCA.2005.1631293	en
dc.identifier.volume	1	en
dc.identifier.spage	365	en
dc.identifier.epage	370	en