Rough set-based logics for multicriteria decision analysis

Tuan Fang Fan*, Duen-Ren Liu, Gwo Hshiung Tzeng

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

66 Scopus citations


In this paper, we propose some decision logic languages for rule representation in rough set-based multicriteria analysis. The semantic models of these logics are data tables, each of which is comprised of a finite set of objects described by a finite set of criteria/attributes. The domains of the criteria may have ordinal properties expressing preference scales, while the domains of the attributes may not. The validity, support, and confidence of a rule are defined via its satisfaction in the data table.

Original languageEnglish
Pages (from-to)340-355
Number of pages16
JournalEuropean Journal of Operational Research
Issue number1
StatePublished - 1 Oct 2007


  • Artificial intelligence
  • Decision logic
  • Fuzzy sets
  • Multicriteria decision analysis
  • Rough sets


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