Soft Computing

, Volume 20, Issue 4, pp 1653–1665 | Cite as

Modelling influence in group decision making

  • Luis G. Pérez
  • Francisco Mata
  • Francisco Chiclana
  • Gang Kou
  • Enrique Herrera-Viedma
Methodologies and Application


Group decision making has been widely studied since group decision making processes are very common in many fields. Formal representation of the experts’ opinions, aggregation of assessments or selection of the best alternatives has been some of main areas addressed by scientists and researchers. In this paper, we focus on another promising area, the study of group decision making processes from the concept of influence and social networks. In order to do so, we present a novel model that gathers the experts’ initial opinions and provides a framework to represent the influence of a given expert over the other(s). With this proposal it is feasible to estimate both the evolution of the group decision making process and the final solution before carrying out the group discussion process and consequently foreseeing possible actions.


Group decision making Aggregation operators Social network Influence 



This research work has been supported with Feder funding by the research project of Education Ministery TIN2013-40658-P. No sources of funding were used to assist in the preparation of this study.

Compliance with ethical standards

No sources of funding were used to assist in the preparation of this study.


This study was funded by the research project of Education Ministery TIN2013-40658-P.

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

This article does not contain any studies with human participants or animals performed by any of the authors.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  • Luis G. Pérez
    • 1
  • Francisco Mata
    • 1
  • Francisco Chiclana
    • 2
  • Gang Kou
    • 3
  • Enrique Herrera-Viedma
    • 4
  1. 1.Department of Computer ScienceUniversity of JaénJaénSpain
  2. 2.Centre for Computational Intelligence (CCI), Faculty of TechnologyDe Montfort UniversityLeicesterUK
  3. 3.School of Business Administration, Southwestern University of Finance and EconomicsChengduChina
  4. 4.Department of Computer ScienceUniversity of GranadaGranadaSpain

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