A consensus model for group decision making problems with linguistic interval fuzzy preference relations

  • Authors:
  • J. M. Tapia Garcıa;M. J. del Moral;M. A. Martínez;E. Herrera-Viedma

  • Affiliations:
  • Dept. of Quantitative Methods in Economy and Enterprise, University of Granada, 18071 Granada, Spain;Dept. of Statistics and Operational Research, University of Granada, 18071 Granada, Spain;SECABA Lab., University of Granada, 18071 Granada, Spain;Dept. of Computer Science, A.I University of Granada, 18071 Granada, Spain

  • Venue:
  • Expert Systems with Applications: An International Journal
  • Year:
  • 2012

Quantified Score

Hi-index 12.06

Visualization

Abstract

Sometimes, we find decision situations in which it is difficult to express some preferences by means of concrete preference degrees. In this paper, we present a consensus model for group decision making problems in which the experts use linguistic interval fuzzy preference relations to represent their preferences. This model is based on two consensus criteria, a consensus measure and a proximity measure, and on the concept of coincidence among preferences. We compute both consensus criteria in the three representation levels of a preference relation and design an automatic feedback mechanism to guide experts in the consensus reaching process.