Reducing Ambiguity in Qualitative Reasoning

by Luis M. Bozzo, Technical Univ of Catalonia, Barcelona, Spain,
Gregory L. Fenves, Technical Univ of Catalonia, Barcelona, Spain,



Document Type: Proceeding Paper

Part of: Computing in Civil and Building Engineering

Abstract:

Qualitative reasoning derives the behavior of a physical system using a representation of the fundamental principles for the domain. In qualitative reasoning parameters are mapped into intervals covering the relevance values. The mapping can introduce ambiguity into the qualitative solution, possibly rendering the solution meaningless. The qualitative calculus defines valid operations between the qualitative parameters. A parameter has relationships, such as greater than, equal to, or smaller than, with other parameters. Four techniques, basic calculus operations with parameter relations, transitivity relationships, constant elimination, and consistency checking, can be used to avoid the ambiguity in the qualitative reasoning process.

Subject Headings: Parameters (statistics) | Artificial intelligence (AI) | Mapping | Structural design | Load distribution | Feasibility studies | Computer aided design

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