A possibilistic decision logic with applications

C. J. Liau*, Duen-Ren Liu

*Corresponding author for this work

Research output: Contribution to journalArticle

7 Scopus citations

Abstract

In this paper, we investigate a knowledge representation formalism in the context of fuzzy data tables. A possibilistic decision logic incorporating linguistic terms is proposed for representing and reasoning about knowledge in fuzzy data tables. Two applications based on the logic are described. The first is the extraction of fuzzy rules from general fuzzy data tables. In this application, the knowledge in the tables may be made explicit by the formulas of the logic or used implicitly in decision-making. The second is for the fuzzy quantization problem of precise data tables. It can be viewed as a special case of the first, however, due to some special properties of the problem, a polynomial time rule extraction process can be obtained. Finally, the relationship of the logic with some works for handling uncertain information in data tables is also discussed.

Original languageEnglish
Pages (from-to)199-217
Number of pages19
JournalFundamenta Informaticae
Volume46
Issue number3
StatePublished - 1 May 2001

Keywords

  • Data analysis
  • Data table
  • Decision logic
  • Decision table
  • Possibilistic decision logic
  • Rough set theory

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