Linguistic hedges for ant-generated rules

dc.contributor.author	Shen, Qiang
dc.contributor.author	Galea, Michelle
dc.date.accessioned	2008-01-23T09:53:35Z
dc.date.available	2008-01-23T09:53:35Z
dc.date.issued	2006
dc.identifier.citation	Shen , Q & Galea , M 2006 , ' Linguistic hedges for ant-generated rules ' pp. 9105-9112 .	en
dc.identifier.other	PURE: 74852
dc.identifier.other	dspace: 2160/460
dc.identifier.uri	http://hdl.handle.net/2160/460
dc.description	M. Galea and Q. Shen. Linguistic hedges for ant-generated rules. Proceedings of the 15th International Conference on Fuzzy Systems, pages 9105-9112, 2006.	en
dc.description.abstract	FRANTIC, a system inspired by insect behaviour for inducing fuzzy IF-THEN rules, is enhanced to produce rules with linguistic hedges. FRANTIC is evaluated against an earlier version of itself and against several other fuzzy rule induction algorithms, and the results are highly encouraging. Rule comprehensibility is maintained while an improvement in the accuracy of the rulebases induced is observed. Equally important, the increase in computation expense due to the improved richness in the hypothesis language is acknowledged, and several ways of resolving this are discussed.	en
dc.format.extent	8	en
dc.language.iso	eng
dc.relation.ispartof		en
dc.title	Linguistic hedges for ant-generated rules	en
dc.type	Text	en
dc.type.publicationtype	Conference paper	en
dc.identifier.doi	http://dx.doi.org/10.1109/FUZZY.2006.1681974
dc.contributor.institution	Department of Computer Science	en
dc.contributor.institution	Advanced Reasoning Group	en
dc.description.status	Non peer reviewed	en