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International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems

IPMU 2014: Information Processing and Management of Uncertainty in Knowledge-Based Systems pp 280–288Cite as

Copula - Based Generalizations of OWA Operators

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 444))

Abstract

We recall first graded classes of copula - based integrals and their specific form when a finite universe X is considered. Subsequently, copula - based generalizations of OWA operators are introduced, as copula - based integrals with respect to symmetric capacities. As a particular class of our new operators, recently introduced OMA operators are obtained. Several particular examples are introduced and discussed to clarify our approach.

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Author information

Authors and Affiliations

  1. Faculty of Civil Engineering, Slovak University of Technology, Radlinského 11, 813 68, Bratislava, Slovak Republic

    Radko Mesiar & Andrea Stupňanová

Authors
  1. Radko Mesiar
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  2. Andrea Stupňanová
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Editor information

Editors and Affiliations

  1. University Montpellier 2, LIRMM - CNRS UMR 5506, 161, Rue Ada, 34392, Montpellier Cedex 5, France

    Anne Laurent

  2. Institute for Human Factors and Technology Management, IAT, University of Stuttgart, Nobelstraße 12, 70569, Stuttgart, Germany

    Oliver Strauss

  3. LIP6, UPMC Univ. Paris 06, CNRS UMR 7606, F-75005, Paris, France

    Bernadette Bouchon-Meunier

  4. Dept. of Information Systems, Iona College, 710 North Ave, 10801, New Rochelle, NY, USA

    Ronald R. Yager

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© 2014 Springer International Publishing Switzerland

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Mesiar, R., Stupňanová, A. (2014). Copula - Based Generalizations of OWA Operators. In: Laurent, A., Strauss, O., Bouchon-Meunier, B., Yager, R.R. (eds) Information Processing and Management of Uncertainty in Knowledge-Based Systems. IPMU 2014. Communications in Computer and Information Science, vol 444. Springer, Cham. https://doi.org/10.1007/978-3-319-08852-5_29

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  • DOI: https://doi.org/10.1007/978-3-319-08852-5_29

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-08851-8

  • Online ISBN: 978-3-319-08852-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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