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Aggregating Imprecise Linguistic Expressions

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Human-Centric Decision-Making Models for Social Sciences

Part of the book series: Studies in Computational Intelligence ((SCI,volume 502))

Abstract

In this chapter, we propose a multi-person decision making procedure where agents judge the alternatives through linguistic expressions generated by an ordered finite scale of linguistic terms (for instance, ‘very good’, ‘good’, ‘acceptable’, ‘bad’, ‘very bad’). If the agents are not confident about their opinions, they might use linguistic expressions composed by several consecutive linguistic terms (for instance, ’between acceptable and good’). The procedure we propose is based on distances and it ranks order the alternatives taking into account the linguistic information provided by the agents. The main features and properties of the proposal are analyzed.

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Notes

  1. 1.

    \(\succcurlyeq \,\) is antisymmetric if for all \(\,a,b\in A\,\) such that \(\,a\ne b\,\) it holds \(\,a\succ b\,\) or \(\,b\succ a\).

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Acknowledgments

The authors are grateful to Jorge Alcalde-Unzu and Ilan Fischer for their suggestions. The financial support of the Spanish Ministerio de Ciencia e Innovación (projects ECO2009-07332, ECO2009-12836, ECO2008-03204-E/ECON, TIN2010-20966-C02-01 and TIN2010-20966-C02-02, SENSORIAL Research Project TIN2010-20966-C02-01 and TIN2010-20966-C02-02), the Spanish Ministerio de Economía y Competitividad (project ECO2012-32178), and ERDF are also acknowledged.

Author information

Authors and Affiliations

  1. PRESAD Research Group, IMUVA, Universidad de Valladolid, Valladolid, Spain

    Edurne Falcó

  2. PRESAD Research Group, IMUVA, Dept. de Economía Aplicada, Universidad de Valladolid, Valladolid, Spain

    José Luis García-Lapresta

  3. Dept. de Matemàtica Aplicada II, Universitat Politècnica de Catalunya, Barcelona, Spain

    Llorenç Roselló

Authors
  1. Edurne Falcó
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  2. José Luis García-Lapresta
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  3. Llorenç Roselló
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Corresponding author

Correspondence to José Luis García-Lapresta .

Editor information

Editors and Affiliations

  1. Faculty of Business Administration, Yokohama National University, Yokohama, Japan

    Peijun Guo

  2. Department of Electrical & Computer Engineering, University of Alberta, Edmonton, Alberta, Canada

    Witold Pedrycz

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Falcó, E., García-Lapresta, J.L., Roselló, L. (2014). Aggregating Imprecise Linguistic Expressions. In: Guo, P., Pedrycz, W. (eds) Human-Centric Decision-Making Models for Social Sciences. Studies in Computational Intelligence, vol 502. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39307-5_5

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  • DOI: https://doi.org/10.1007/978-3-642-39307-5_5

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