Computing with words in decision making through individual and collective linguistic choice rules
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
International Journal of Approximate Reasoning
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Defining the Borda count in a linguistic decision making context
Information Sciences: an International Journal
The orders of magnitude models as qualitative algebras
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
Linguistic-based voting through centered OWA operators
Fuzzy Optimization and Decision Making
Linguistic modelling based on semantic similarity relation among linguistic labels
Fuzzy Sets and Systems
A general class of simple majority decision rules based on linguistic opinions
Information Sciences: an International Journal
Measuring consensus in group decisions by means of qualitative reasoning
International Journal of Approximate Reasoning
Fuzzy logic = computing with words
IEEE Transactions on Fuzzy Systems
A 2-tuple fuzzy linguistic representation model for computing with words
IEEE Transactions on Fuzzy Systems
A Fuzzy Linguistic Methodology to Deal With Unbalanced Linguistic Term Sets
IEEE Transactions on Fuzzy Systems
Information Sciences: an International Journal
Ranking multi-attribute alternatives on the basis of linguistic labels in group decisions
Information Sciences: an International Journal
Hesitant Fuzzy Linguistic Term Sets for Decision Making
IEEE Transactions on Fuzzy Systems
Information Sciences: an International Journal
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In this paper we propose a decision-making procedure where the agents judge the alternatives through linguistic terms such as 'very good', 'good', 'acceptable', etc. If the agents are not confident about their opinions, they can use a linguistic expression formed by several consecutive linguistic terms. To obtain a ranking on the set of alternatives, the method consists of three different stages. The first stage looks for the alternatives in which the overall opinion is closer to the ideal assessment. The overall opinion is developed by a distance-based process among the individual assessments. The next two stages form a tie-breaking process. Firstly by using a dispersion index based on the Gini coefficient, and secondly by taking into account the number of best-assessments. The main characteristics of the proposed decision-making procedure are analyzed.