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Dealing with Hesitant Fuzzy Linguistic Information in Decision Making

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The 2-tuple Linguistic Model

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Abstract

The 2-tuple linguistic model and its extensions have introduced some improvements to overcome several limitations in linguistic modeling, however, there are still some challenges to face, mainly because most linguistic models including the 2-tuple linguistic model restrict experts to using single linguistic terms to express their opinions. Sometimes due to the lack of information or knowledge about the problem, experts hesitate among several linguistic terms, and the use of only one linguistic term is not enough to represent their knowledge in a correct and accurate way. This chapter introduces the concept of hesitant fuzzy linguistic term sets which keeps the basis of the fuzzy linguistic approach and allows generating more flexible and richer linguistic expressions than single linguistic terms, hence it seems adequate to deal with experts’ hesitation in linguistic contexts. A multicriteria decision-making model based on 2-tuple linguistics that deal with comparative linguistic expressions is also introduced.

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Authors and Affiliations

  1. Department of Computer Science, University of Jaén, Jaén, Spain

    Luis Martínez

  2. Department of Computer Science and AI, University of Granada, Granada, Spain

    Rosa M. Rodriguez & Francisco Herrera

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  1. Luis Martínez
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  2. Rosa M. Rodriguez
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  3. Francisco Herrera
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Martínez, L., Rodriguez, R.M., Herrera, F. (2015). Dealing with Hesitant Fuzzy Linguistic Information in Decision Making. In: The 2-tuple Linguistic Model. Springer, Cham. https://doi.org/10.1007/978-3-319-24714-4_6

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  • DOI: https://doi.org/10.1007/978-3-319-24714-4_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24712-0

  • Online ISBN: 978-3-319-24714-4

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