Fuzzy Model Fragment Retrieval

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dc.contributor.author Shen, Qiang
dc.contributor.author Fu, Xin
dc.date.accessioned 2008-07-03T10:37:36Z
dc.date.available 2008-07-03T10:37:36Z
dc.date.issued 2008-07-03
dc.identifier.citation Shen , Q & Fu , X 2008 , ' Fuzzy Model Fragment Retrieval ' pp. 1381-1388 . en
dc.identifier.other PURE: 85762
dc.identifier.other dspace: 2160/596
dc.identifier.uri http://hdl.handle.net/2160/596
dc.description X. Fu and Q. Shen. 'Fuzzy Model Fragment Retrieval', In Proceedings of the 17th International Conference on Fuzzy Systems, 2008, pp. 1381-1388. en
dc.description.abstract Given a set of collected evidence and a knowledge base, Fuzzy Compositional Modelling (FCM) begins by retrieving model fragments which are the most likely to be relevant to the available data. Since FCM often involves imprecise and uncertain information, a match between the available data and the knowledge base cannot in general be done precisely, partial matching may suffice. This paper proposes a more flexible fuzzy model fragment retrieval mechanism to match data items with broader, including possibly subjective information in the knowledge base. It is capable of retrieving those model fragments that can approximately match the collected evidence, when no exact match occurs. The retrieval process and its capability is illustrated by means of an application example. en
dc.format.extent 8 en
dc.language.iso eng
dc.relation.ispartof en
dc.title Fuzzy Model Fragment Retrieval en
dc.type Text en
dc.type.publicationtype Conference paper en
dc.contributor.institution Department of Computer Science en
dc.description.status Non peer reviewed en


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