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1
Some Trends in Fuzzy Decision Making
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2
Consensus-Based Decision Support Model and Fusion Architecture for Dynamic Decision Making
In: Electrical and Computer Engineering Publications (2022)
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3
Consistency-driven methodology to manage incomplete linguistic preference relation: A perspective based on personalized individual semantics
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4
Consistency improvement with a feedback recommendation in personalized linguistic group decision making
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5
Dealing with Incomplete Information in Linguistic Group Decision Making by Means of Interval Type-2 Fuzzy Sets
Urena, Raquel; Kou, Gang; Wu, Jian. - : Wiley, 2019
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6
Using clustering methods to deal with high number of alternatives on Group Decision Making
Morente-Molinera, Juan Antonio; Ríos Aguilar, Sergio (1); González-Crespo, Rubén (1). - : 7th International Conference on Information Technology and Quantitative Management (ITQM), 2019
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7
An overview on managing additive consistency of reciprocal preference relations for consistency-driven decision making and Fusion: Taxonomy and future directions
Cong-Cong, Li; Dong, Yucheng; Xu, Yejun. - : Elsevier, 2018
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8
An interaction consensus in group decision making under distributed trust information
Lifang Dai; Wu, Jian; Chiclana, Francisco. - : IOS Press, 2017
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9
A minimum adjustment cost feedback mechanism based consensus model for group decision making under social network with distributed linguistic trust
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10
Linguistic multi-criteria decision-making model with output variable expressive richness
Abstract: The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link. ; In general, traditional decision-making models are based on methods that perform calculations on quantitative measures. These methods are usually applied to assess possible solutions to a problem, resulting in a ranking of alternatives. However, when it comes to making decisions about qualitative measures –such as service quality–, the quantitative assessment is a bit difficult to interpret. Therefore, taking into account the maturity of the linguistic assessment models, this paper puts forth a new solution proposal. It is a decision-making model that uses linguistic labels –represented with the 2-tuple notation– and a variable expressive richness when providing output results. This solution allows expressing results in a manner closer to the human cognitive system. To achieve this goal, a mechanism has been implemented for measuring the distance among the aggregate ratings, providing the decision-maker with a fast and intuitive answer. The proposal is illustrated with an application example based on the TOPSIS model, using linguistic labels throughout the entire process.
Keyword: 2-tuple representation; linguistic labels; linguistic TOPSIS model; multi-criteria decision making; variable expressive richness
URL: http://hdl.handle.net/2086/14153
https://doi.org/10.1016/j.eswa.2017.04.049
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11
Trust Based Consensus Model for Social Network in an Incomplete Linguistic Information Context
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12
An Adaptive Consensus Support Model for Group Decision-Making Problems in a Multigranular Fuzzy Linguistic Context
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13
A consensus support system model for group decision-making problems with multigranular linguistic preference relations.
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