A novel multi-criteria group decision-making method for heterogeneous and dynamic contexts using multi-granular fuzzy linguistic modelling and consensus measures

J. A. Morente-Molinera*, X. Wu, A. Morfeq, R. Al-Hmouz, E. Herrera-Viedma

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

57 Citations (Scopus)

Abstract

This paper presents a novel multi-criteria group decision-making method that is capable of working in heterogeneous and dynamic environments. It is applicable in non-static frameworks where the decision context can vary at any time during the process. It also makes experts comfortable by allowing them to provide information using their most preferred means. By using multi-granular fuzzy linguistic modelling, the experts can provide preferences using their preferred linguistic label set. Furthermore, they also can choose the criteria values that they want to provide preferences for. Also, experts, alternatives and criteria can be added at any time during the decision process. Finally, consensus measures are applied in order to promote further debate and to help the experts reach an agreement.

Original languageEnglish
Pages (from-to)240-250
Number of pages11
JournalInformation Fusion
Volume53
DOIs
Publication statusPublished - Jan 2020
Externally publishedYes

Keywords

  • Computing with words
  • Consensus measures
  • Multi-criteria group decision-making
  • Multi-granular fuzzy linguistic modelling

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Information Systems
  • Hardware and Architecture

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