On Variable Precision Generalized Rough Sets and Incomplete Decision Tables

Yu Ru Syau, Churn Jung Liau, En Bing Lin

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

We present variable precision generalized rough set approach to characterize incomplete decision tables. We show how to determine the discernibility threshold for a reflexive relational decision system in the variable precision generalized rough set model. We also point out some properties of positive regions and prove a statement of the necessary condition for weak consistency of an incomplete decision table. We present two examples to illustrate the results obtained in this paper.

Original languageEnglish
Pages (from-to)75-92
Number of pages18
JournalFundamenta Informaticae
Volume179
Issue number1
DOIs
StatePublished - 2021

Keywords

  • Rough sets
  • consistency
  • incomplete decision tables
  • relative discernibility
  • variable precision rough set models

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