Linguistic decision analysis: steps for solving decision problems under linguistic information
Fuzzy Sets and Systems - Special issue on soft decision analysis
Information Sciences—Informatics and Computer Science: An International Journal
Consensus-based intelligent group decision-making model for the selection of advanced technology
Decision Support Systems
A method for group decision making with multi-granularity linguistic assessment information
Information Sciences: an International Journal
An automatic approach to reaching consensus in multiple attribute group decision making
Computers and Industrial Engineering
Linguistic-based voting through centered OWA operators
Fuzzy Optimization and Decision Making
Measuring consensus in group decisions by means of qualitative reasoning
International Journal of Approximate Reasoning
A web based consensus support system for group decision making problems and incomplete preferences
Information Sciences: an International Journal
Group consensus algorithms based on preference relations
Information Sciences: an International Journal
Computers and Industrial Engineering
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A consensus model for multiperson decision making with different preference structures
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Allowing agents to be imprecise: A proposal using multiple linguistic terms
Information Sciences: an International Journal
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This paper proposes a mathematical framework and methodology for group decision-making under multi-granular and multi-attribute linguistic assessments. It is based on distances between linguistic assessments and a degree of consensus. Distances in the space of qualitative assessments are defined from the geodesic distance in graph theory and the Minkowski distance. The degree of consensus is defined through the concept of entropy of a qualitatively-described system. Optimal assessments in terms of both proximity to all the expert opinions in the group and the degree of consensus are used to compare opinions and define a methodology to rank multi-attribute alternatives.