Fuzzy extensions of the dominance-based rough set approach

Marko Palangetić, Chris Cornelis, Salvatore Greco, Roman Słowiński

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, we first review existing fuzzy extensions of the dominance-based rough set approach (DRSA), and advance the theory considering additional properties. Moreover, we examine the application of Ordered Weighted Average (OWA) operators to fuzzy DRSA. OWA operators have shown a lot of potential in handling outliers and noisy data in decision tables, when they are combined with the indiscernibility-based rough set approach (IRSA). We examine theoretical properties of the proposed hybridisation of OWA operators with fuzzy DRSA. At the end, we experimentally compare the robustness of the standard fuzzy DRSA approach with the OWA one.
Original languageEnglish
Pages (from-to)1-19
JournalInternational Journal of Approximate Reasoning
Volume129
Early online date12 Nov 2020
DOIs
Publication statusPublished - 1 Feb 2021

Keywords

  • Dominance-based rough set approach
  • Fuzzy set theory
  • Ordered weighted average

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