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Applying Linguistic OWA Operators in Consensus Models under Unbalanced Linguistic Information

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Recent Developments in the Ordered Weighted Averaging Operators: Theory and Practice

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 265))

Abstract

In Group Decision Making (GDM) the automatic consensus models are guided by different consensus measures which usually are obtained by aggregating similarities observed among experts’ opinions. Most GDM problems based on linguistic approaches use symmetrically and uniformly distributed linguistic term sets to express experts’ opinions.However, there exist problemswhose assessments need to be represented by means of unbalanced linguistic term sets, i.e., using term sets which are not uniformly and symmetrically distributed. The aim of this paper is to present different Linguistic OWA Operators to compute the consensus measures in consensusmodels for GDMproblems with unbalanced fuzzy linguistic information.

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Author information

Authors and Affiliations

  1. Dept. of Computer Science and A.I, University of Granada, 18071, Granada, Spain

    E. Herrera-Viedma, I. J. Pérez, M. J. Cobo & F. Herrera

  2. Department of Software Engineering and Computer Systems, Distance Learning University of Spain, 28040, Madrid, Spain

    F. J. Cabrerizo

  3. Dept. of Software Engineering, University of Granada, 18071, Granada, Spain

    S. Alonso

Authors
  1. E. Herrera-Viedma
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  2. F. J. Cabrerizo
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  3. I. J. Pérez
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  4. M. J. Cobo
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  5. S. Alonso
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  6. F. Herrera
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Editor information

Editors and Affiliations

  1. Machine Intelligence Institute , Iona College, 10801, New Rochelle, NY, USA

    Ronald R. Yager

  2. Systems Research Institute , Polish Academy of Sciences, Ul. Newelska 6, 01-447, Warsaw, Poland

    Janusz Kacprzyk

  3. School of Information Technology , Deakin University, 221 Burwood Highway, 3125, Burwood, Victoria, Australia

    Gleb Beliakov

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Herrera-Viedma, E., Cabrerizo, F.J., Pérez, I.J., Cobo, M.J., Alonso, S., Herrera, F. (2011). Applying Linguistic OWA Operators in Consensus Models under Unbalanced Linguistic Information. In: Yager, R.R., Kacprzyk, J., Beliakov, G. (eds) Recent Developments in the Ordered Weighted Averaging Operators: Theory and Practice. Studies in Fuzziness and Soft Computing, vol 265. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17910-5_9

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