A Fuzzy Approach to Accessing Accident Databases

  • Authors:

  • P. W. H. Chung;M. Jefferson

  • Affiliations:

  • Department of Chemical Engineering, Loughborough University, Loughborough, Leicestershire LE11 3TU, UK. E-mail: p.w.h.chung@lboro.ac.uk;Department of Chemical Engineering, Loughborough University, Loughborough, Leicestershire LE11 3TU, UK. E-mail: p.w.h.chung@lboro.ac.uk

  • Venue:
  • Applied Intelligence
  • Year:
  • 1998

  • A set theoretic view of the ISA hierarchy

    IEA/AIE'06 Proceedings of the 19th international conference on Advances in Applied Artificial Intelligence: industrial, Engineering and Other Applications of Applied Intelligent Systems

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Abstract

This paper is concerned with accessing information from accidentdatabases. It discusses the limitation of current accident databases andfocuses on the issue of finding and ranking of information that relates to aquery. A user or system initiates an interaction with a database byspecifying what is of interest in the form of a query. The query does nothave to be treated as a precise description of what is of interest, but avague or “fuzzy” one. Fuzzy database techniques make it possibleto exploit all available information by returning not only items that matchthe query exactly, but also items that bear some relation to the query.A domain model for accident reports in the process industries wasdeveloped. It consists of four classification hierarchies for the attributesoperation, equipment, {\itcause and consequence. A common approach forassessing how closely two terms are related is based on the number of linksbetween the two terms on a hierarchy. This approach is not appropriate forthe accident database domain. Instead, the relationship between any twonodes on a hierarchy is classified into four different types. Methods fordetermining similarities for the different types of relationships arediscussed and have been implemented in an accident database. The ranking ofthe retrieved information is much more satisfactory then the“distance” based approach.