Fuzzy Model Fragment Retrieval

Qiang Shen, Xin Fu

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)

1 Citation (SciVal)
32 Downloads (Pure)

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.
Original languageEnglish
Title of host publicationProceedings of the 17th International Conference on Fuzzy Systems
Pages1381-1388
Number of pages8
Publication statusPublished - 01 Jun 2008
EventFuzzy Systems - Hong Kong, Hong Kong, China
Duration: 01 Jun 200806 Jun 2008
Conference number: 17

Conference

ConferenceFuzzy Systems
Abbreviated titleFUZZ-IEEE-2008
Country/TerritoryChina
CityHong Kong
Period01 Jun 200806 Jun 2008

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