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Please use this identifier to cite or link to this item: http://hdl.handle.net/10481/5676

Title: A consensus model for group decision making problems with unbalanced fuzzy linguistic information
Authors: Cabrerizo, F.J.
Alonso, S.
Herrera-Viedma, E.
Issue Date: 2009
Abstract: Most group decision making problems based on linguistic approaches use symmetrically and uniformly distributed linguistic term sets to express experts opinions. However, there exist problems whose assessments need to be represented by means of unbalanced linguistic term sets, i.e., using term sets which are not uniformly and symmetrically distributed. The aim of this paper is to present a consensus model for group decision making problems with unbalanced fuzzy linguistic information. This consensus model is based on both a fuzzy linguistic methodology to deal with unbalanced linguistic term sets and two consensus criteria, consensus degrees and proximity measures. To do so, we use a new fuzzy linguistic methodology improving another approach to manage unbalanced fuzzy linguistic information,1 which uses the linguistic 2-tuple model as representation base of unbalanced fuzzy linguistic information. In addition, the consensus model presents a feedback mechanism to help experts for reaching the highest degree of consensus possible. There are two main advantages provided by this consensus model. Firstly, its ability to cope with group decision making problems with unbalanced fuzzy linguistic information overcoming the problem of finding different discrimination levels in linguistic term sets. And, secondly, it supports the consensus process automatically, avoiding the possible subjectivity that the moderator can introduce in this phase.
Keywords: Fuzzy linguistic modeling
Unbalanced linguistic term set
Group decision making
URI: http://hdl.handle.net/10481/5676
Rights : Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License
Citation: F.J. Cabrerizo, S. Alonso, E. Herrera-Viedma, A Consensus Model for Group Decision Making Problems with Unbalanced Fuzzy Linguistic Information. International Journal of Information Technology & Decision Making, 8:1 (2009), 109-131
Other Identifiers: http://dx.doi.org/10.1142/S0219622009003296
Appears in Collections:SECABA - Artículos

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