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LINGUISTIC AGGREGATION OPERATORS FOR LINGUISTIC DECISION MAKING BASED ON THE DEMPSTER-SHAFER THEORY OF EVIDENCE

J. M. MERIGÓ

Department of Business Administration, University of Barcelona, Av. Diagonal 690 08034, Barcelona, Spain

Corresponding author.

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M. CASANOVAS

Department of Business Administration, University of Barcelona, Av. Diagonal 690 08034, Barcelona, Spain

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, and

L. MARTÍNEZ

Department of Computer Science, University of Jaén, Campus Las Lagunillas s/n Jaén, 23071, Spain

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https://doi.org/10.1142/S0218488510006544Cited by:157 (Source: Crossref)

Abstract

In this paper, we develop a new approach for decision making with Dempster-Shafer theory of evidence by using linguistic information. We suggest the use of different types of linguistic aggregation operators in the model. We then obtain as a result, the belief structure — linguistic ordered weighted averaging (BS-LOWA), the BS — linguistic hybrid averaging (BS-LHA) and a wide range of particular cases. Some of their main properties are studied. Finally, we provide an illustrative example that shows the different results obtained by using different types of linguistic aggregation operators in the new approach.

Keywords:

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