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A Multi-criteria Group Decision-Making Method in Changeable Scenarios Based on Self-adjustment of Weights Using Reciprocal Preference Relations

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Fuzzy Logic and Technology, and Aggregation Operators (EUSFLAT 2023, AGOP 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14069))

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Abstract

Group Decision-Making is a process in which experts have to choose one or more options from a finite set of alternatives. Group Decision-Making methods were developed to assist in this type of event, but often information is lost in the alternatives analysis since not all the alternatives fulfil criteria in the same way. Moreover, in these methods, once the debate is over, it is not usually possible to reopen the decision process. Finally, the third problem that can occur in this type of method is that the experts are forced to provide preferences even though they know nothing about them, which makes the provided information incorrect. To solve these problems, we develop a novel Multi-Criteria Group Decision-Making method that allows experts to modify the reciprocal preference relation ratings whenever they wish and gives them the option of not providing a preference value if they do not know anything about it, that is, it works with incomplete reciprocal preference relations. Furthermore, the weight of each criterion is self-adjusted according to the assessments that have been made at that moment, which means that each criterion will have a different weight, thus obtaining a more versatile Group Decision-Making method that is adaptable to the different situations that may arise during a decision process.

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Acknowledgments

This work was supported by the project PID2019-103880RB-I00 funded by MCIN/AEI/10.13039/501100011033, by FEDER/Junta de Andalucía-Consejería de Transformación Económica, Industria, Conocimiento y Universidades/Proyecto B-TIC-590-UGR20, and by the Andalusian Government through the project P20_00673.

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Authors and Affiliations

  1. Andalusian Research Institute of Data Science and Computational Intelligence (DASCI), University of Granada, 18071, Granada, Spain

    José Ramón Trillo, Sergio Alonso, Ignacio Javier Pérez, Enrique Herrera-Viedma, Juan Antonio Morente-Molinera & Francisco Javier Cabrerizo

Authors
  1. José Ramón Trillo
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  2. Sergio Alonso
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  3. Ignacio Javier Pérez
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  4. Enrique Herrera-Viedma
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  5. Juan Antonio Morente-Molinera
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  6. Francisco Javier Cabrerizo
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Correspondence to José Ramón Trillo .

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Editors and Affiliations

  1. University of the Balearic Islands, Palma, Spain

    Sebastia Massanet

  2. University of Oviedo, Gijón, Spain

    Susana Montes

  3. University of the Balearic Islands, Palma, Spain

    Daniel Ruiz-Aguilera

  4. University of the Balearic Islands, Palma, Spain

    Manuel González-Hidalgo

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Trillo, J.R., Alonso, S., Pérez, I.J., Herrera-Viedma, E., Morente-Molinera, J.A., Cabrerizo, F.J. (2023). A Multi-criteria Group Decision-Making Method in Changeable Scenarios Based on Self-adjustment of Weights Using Reciprocal Preference Relations. In: Massanet, S., Montes, S., Ruiz-Aguilera, D., González-Hidalgo, M. (eds) Fuzzy Logic and Technology, and Aggregation Operators. EUSFLAT AGOP 2023 2023. Lecture Notes in Computer Science, vol 14069. Springer, Cham. https://doi.org/10.1007/978-3-031-39965-7_16

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  • DOI: https://doi.org/10.1007/978-3-031-39965-7_16

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-031-39965-7

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