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Fuzzy Soft Set Decision Making Algorithms: Some Clarifications and Reinterpretations

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Advances in Artificial Intelligence (CAEPIA 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9868))

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Abstract

We do two things in relation with fuzzy soft set decision making in this paper. Both in the score-based and fuzzy choice values approaches to decision making, the modifications that account for the model with positive and negative attributes are put forward and discussed for the most common fuzzy negation. We also provide a reinterpretation of the fuzzy choice values solution in terms of choice values associated with fuzzy opportunity costs.

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Author information

Authors and Affiliations

  1. BORDA Research Unit and Multidisciplinary Institute of Enterprise (IME), University of Salamanca, Salamanca, Spain

    José Carlos R. Alcantud

Authors
  1. José Carlos R. Alcantud
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Correspondence to José Carlos R. Alcantud .

Editor information

Editors and Affiliations

  1. Artificial Intelligence Center, University of Oviedo, Gijón, Spain

    Oscar Luaces

  2. University of Castilla-La Mancha , Albacete, Spain

    José A. Gámez

  3. Public University of Navarre , Pamplona, Spain

    Edurne Barrenechea

  4. Universidad Pablo de Olavide , Sevilla, Spain

    Alicia Troncoso

  5. Public University of Navarre , Pamplona, Navarra, Spain

    Mikel Galar

  6. University of Salamanca , Salamanca, Spain

    Héctor Quintián

  7. University of Salamanca , Salamanca, Spain

    Emilio Corchado

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Alcantud, J.C.R. (2016). Fuzzy Soft Set Decision Making Algorithms: Some Clarifications and Reinterpretations. In: Luaces , O., et al. Advances in Artificial Intelligence. CAEPIA 2016. Lecture Notes in Computer Science(), vol 9868. Springer, Cham. https://doi.org/10.1007/978-3-319-44636-3_45

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  • DOI: https://doi.org/10.1007/978-3-319-44636-3_45

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-44635-6

  • Online ISBN: 978-3-319-44636-3

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