Linguistic hedges for ant-generated rules

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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 . , 10.1109/FUZZY.2006.1681974 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


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