Joint Proceedings of the 19th World Congress of the International Fuzzy Systems Association (IFSA), the 12th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT), and the 11th International Summer School on Aggregation Operators (AGOP)

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A Granular Consensus Model Based on Intuitionistic Reciprocal Preference Relations and Minimum Adjustment for Multi-Criteria Group Decision Making

Authors
Francisco Javier Cabrerizo, José Ramón Trillo, Juan Antonio Morente-Molinera, Sergio Alonso, Enrique Herrera-Viedma
Corresponding Author
Francisco Javier Cabrerizo
Available Online 30 August 2021.
DOI
10.2991/asum.k.210827.040How to use a DOI?
Keywords
Consensus, Granular computing, Intuitionistic reciprocal preference relations, Minimum adjustment, Multi-criteria group decision making
Abstract

When a group of individuals try to collectively make a decision, it is important that all of them accept the decision adopted. It means, to improve consensus, some adjustments could be inevitably performed to the initial assessments given by the individuals. To do it, several models have been recently developed from the viewpoint of the granular computing paradigm. However, the models dealing with intuitionistic reciprocal preference relations do not consider that the modified assessments could be very different from the initial ones. The aim of this work is to develop a model based on the granular computing paradigm that tries to increase the consensus at the same time that tries to reduce the dissimilarity between the original assessments and the adjusted ones. In addition to it, this model is able to deal with multi-criteria group decision making problems.

Copyright
© 2021, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Joint Proceedings of the 19th World Congress of the International Fuzzy Systems Association (IFSA), the 12th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT), and the 11th International Summer School on Aggregation Operators (AGOP)
Series
Atlantis Studies in Uncertainty Modelling
Publication Date
30 August 2021
ISBN
978-94-6239-423-0
ISSN
2589-6644
DOI
10.2991/asum.k.210827.040How to use a DOI?
Copyright
© 2021, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - CONF
AU  - Francisco Javier Cabrerizo
AU  - José Ramón Trillo
AU  - Juan Antonio Morente-Molinera
AU  - Sergio Alonso
AU  - Enrique Herrera-Viedma
PY  - 2021
DA  - 2021/08/30
TI  - A Granular Consensus Model Based on Intuitionistic Reciprocal Preference Relations and Minimum Adjustment for Multi-Criteria Group Decision Making
BT  - Joint Proceedings of the 19th World Congress of the International Fuzzy Systems Association (IFSA), the 12th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT), and the 11th International Summer School on Aggregation Operators (AGOP)
PB  - Atlantis Press
SP  - 298
EP  - 305
SN  - 2589-6644
UR  - https://doi.org/10.2991/asum.k.210827.040
DO  - 10.2991/asum.k.210827.040
ID  - Cabrerizo2021
ER  -