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Extension of the fuzzy dominance-based rough set approach using ordered weighted average operators

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Abstract
In the article we rst review some known results on fuzzy versions of the dominance-based rough set approach (DRSA) where we expand the theory considering additional properties. Also, we apply Ordinal Weighted Average (OWA) operators in fuzzy DRSA. OWA operators have shown a lot of potential in handling outliers and noisy data in decision tables when it is combined with the indiscernibility-based rough set approach (IRSA).We examine theoretical properties of the proposed combination with fuzzy DRSA.
Keywords
Dominance-based rough set approach, Fuzzy logic, Ordered Weighted Average

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MLA
Palangetić, Marko, et al. “Extension of the Fuzzy Dominance-Based Rough Set Approach Using Ordered Weighted Average Operators.” Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019), vol. 1, Atlantis Press, 2019, pp. 528–35, doi:10.2991/eusflat-19.2019.73.
APA
Palangetić, M., Cornelis, C., Greco, S., & Słowiński, R. (2019). Extension of the fuzzy dominance-based rough set approach using ordered weighted average operators. Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019), 1, 528–535. https://doi.org/10.2991/eusflat-19.2019.73
Chicago author-date
Palangetić, Marko, Chris Cornelis, Salvatore Greco, and Roman Słowiński. 2019. “Extension of the Fuzzy Dominance-Based Rough Set Approach Using Ordered Weighted Average Operators.” In Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019), 1:528–35. Paris, France: Atlantis Press. https://doi.org/10.2991/eusflat-19.2019.73.
Chicago author-date (all authors)
Palangetić, Marko, Chris Cornelis, Salvatore Greco, and Roman Słowiński. 2019. “Extension of the Fuzzy Dominance-Based Rough Set Approach Using Ordered Weighted Average Operators.” In Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019), 1:528–535. Paris, France: Atlantis Press. doi:10.2991/eusflat-19.2019.73.
Vancouver
1.
Palangetić M, Cornelis C, Greco S, Słowiński R. Extension of the fuzzy dominance-based rough set approach using ordered weighted average operators. In: Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019). Paris, France: Atlantis Press; 2019. p. 528–35.
IEEE
[1]
M. Palangetić, C. Cornelis, S. Greco, and R. Słowiński, “Extension of the fuzzy dominance-based rough set approach using ordered weighted average operators,” in Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019), Prague, 2019, vol. 1, pp. 528–535.
@inproceedings{8644203,
  abstract     = {{In the article we rst review some known results on fuzzy versions of the dominance-based rough set approach (DRSA) where we expand the theory considering additional properties. Also, we apply Ordinal Weighted Average (OWA) operators in fuzzy DRSA. OWA operators have shown a lot of potential in handling outliers and noisy data in decision tables when it is combined with the indiscernibility-based rough set approach (IRSA).We examine theoretical properties of the proposed combination with fuzzy DRSA.}},
  author       = {{Palangetić, Marko and Cornelis, Chris and Greco, Salvatore and Słowiński, Roman}},
  booktitle    = {{Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019)}},
  isbn         = {{9789462527706}},
  issn         = {{2589-6644}},
  keywords     = {{Dominance-based rough set approach,Fuzzy logic,Ordered Weighted Average}},
  language     = {{eng}},
  location     = {{Prague}},
  pages        = {{528--535}},
  publisher    = {{Atlantis Press}},
  title        = {{Extension of the fuzzy dominance-based rough set approach using ordered weighted average operators}},
  url          = {{http://doi.org/10.2991/eusflat-19.2019.73}},
  volume       = {{1}},
  year         = {{2019}},
}

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