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Choquet Integration and the AHP: Inconsistency and Non-additivity

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Advances in Computational Intelligence (IPMU 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 300))

Abstract

We propose to extend the aggregation scheme of the AHP, from the standard weighted averaging to the more general Choquet integration. In our model, a measure of dominance inconsistency between criteria is derived from the main pairwise comparison matrix of the AHP and it is used to construct a non-additive capacity, whose associated Choquet integral reduces to the standard weighted mean of the AHP in the consistency case. In the general inconsistency case, however, the new AHP aggregation scheme based on Choquet integration tends to attenuate (resp. emphasize) the priority weights of the criteria with higher (resp. lower) average dominance inconsistency with the other criteria.

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Author information

Authors and Affiliations

  1. Dipartimento di Informatica e Studi Aziendali, Università degli Studi di Trento, Via Inama 5, TN, 38122, Trento, Italy

    Silvia Bortot & Ricardo Alberto Marques Pereira

Authors
  1. Silvia Bortot
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  2. Ricardo Alberto Marques Pereira
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Editor information

Editors and Affiliations

  1. Faculty of Economics, University of Catania, Corso Italia, 55, 95129, Catania, Italy

    Salvatore Greco  & Benedetto Matarazzo  & 

  2. CNRS UMR 7606, DAPA, LIP6 8, Université Pierre et Marie Curie - Paris6, rue du Capitaine Scott, F-75015, Paris, France

    Bernadette Bouchon-Meunier

  3. Dip. Matematica e Informatica, Università di Perugia, 06123, Perugia, Italy

    Giulianella Coletti

  4. Department of Computer and Management Science, University of Trento, Via Inama 5, 38122, Trento, Italy

    Mario Fedrizzi

  5. Machine Intelligence Institute — IONA College,, 10801, New Rochelle, NY, USA

    Ronald R. Yager

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Bortot, S., Marques Pereira, R.A. (2012). Choquet Integration and the AHP: Inconsistency and Non-additivity. In: Greco, S., Bouchon-Meunier, B., Coletti, G., Fedrizzi, M., Matarazzo, B., Yager, R.R. (eds) Advances in Computational Intelligence. IPMU 2012. Communications in Computer and Information Science, vol 300. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31724-8_20

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  • DOI: https://doi.org/10.1007/978-3-642-31724-8_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31723-1

  • Online ISBN: 978-3-642-31724-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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