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Article
POOL: A Semantic Model for Approximate Reasoning and Its Application in Decision Support
Journal of Management Information Systems (1987)
  • Wen-Ran Zhang, University of North Carolina at Charlotte
Abstract
POOL—A Semantic Model for Approximate Reasoning—is based on the theory of linguistic fuzzy relations (lfr) and linguistic similarity relations (lsr). The proposed model combines the advantages of linguistic representation and numerical computation. Hence, it can facilitate knowledge representation and approximate reasoning for object/concept relation modeling especially in an environment containing imprecision, ambiguity, and/or uncertainty, which is often the case faced by knowledge engineers in building decision support systems.
Keywords
  • Symbolic systems,
  • Semantic systems,
  • Linguistic similarity relations,
  • Linguistic transitive closures,
  • Approximate reasoning,
  • Decision support
Disciplines
Publication Date
March, 1987
DOI
10.1080/07421222.1987.11517779
Citation Information
Wen-Ran Zhang. "POOL: A Semantic Model for Approximate Reasoning and Its Application in Decision Support" Journal of Management Information Systems Vol. 3 Iss. 4 (1987) p. 65 - 78
Available at: http://works.bepress.com/wen-ran_zhang/21/