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Unbalanced OWA Operators for Atanassov Intuitionistic Fuzzy Sets

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Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2016)

Abstract

In this work we introduce a new class of OWA operators for Atanassov intuitionistic fuzzy sets which distinguishes between the weights for the membership degree and the weights for the nonmembership degree; we call these operators Unbalanced Atanassov Intuitionistic OWA operators. We also study under which conditions these operators are aggregation functions with respect to the Atanassov intuitionistic admissible linear orders. Finally, we apply these aggregation functions in an illustrative example of a decision making problem.

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Acknowledgments

The work has been supported by projects TIN2013-40765-P of the Spanish Ministry of Science and the Research Services of the Universidad Publica de Navarra.

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Correspondence to Laura De Miguel .

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© 2016 Springer International Publishing Switzerland

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De Miguel, L. et al. (2016). Unbalanced OWA Operators for Atanassov Intuitionistic Fuzzy Sets. In: Carvalho, J., Lesot, MJ., Kaymak, U., Vieira, S., Bouchon-Meunier, B., Yager, R. (eds) Information Processing and Management of Uncertainty in Knowledge-Based Systems. IPMU 2016. Communications in Computer and Information Science, vol 611. Springer, Cham. https://doi.org/10.1007/978-3-319-40581-0_35

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  • DOI: https://doi.org/10.1007/978-3-319-40581-0_35

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-40580-3

  • Online ISBN: 978-3-319-40581-0

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