Towards Fuzzy Compositional Modelling

Qiang Shen, Ruiqing Zhao, Xin Fu

Research output: Contribution to conferencePaper

4 Citations (SciVal)
173 Downloads (Pure)

Abstract

Compositional Modelling (CM) has been applied to synthesize automatically plausible scenarios in many problem domains with promising results. However, it is assumed that the generic and reusable model fragments within the knowledge base can all be expressed by precise and crisp information. This paper presents an initial attempt to extend the existing CM work to allow the generation of scenario spaces which are capable of representing, storing and supporting inference about imprecise or ill-defined data, by the use of fuzzy sets. A knowledge representation formalism for both fuzzy parameters and fuzzy constraints is incorporated into the representation of conventional model fragments. The applicability of the proposed method is illustrated by means of a simple worked example for supporting crime investigation.
Original languageEnglish
Pages1233-1238
Number of pages6
DOIs
Publication statusPublished - 23 Jul 2007

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