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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
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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
Abstract: Different consensus models for group decisionmaking (GDM) problems have been proposed in the literature. However, all of them consider the consensus reaching process a rigid or inflexible one because its behavior remains fixed in all rounds of the consensus process. The aim of this paper is to improve the consensus reaching process in GDM problems defined in multigranular linguistic contexts, i.e., by using linguistic term sets with different cardinality to represent experts’ preferences. To do that, we propose an adaptive consensus support system model for this type of decision-making problem, i.e., a process that adapts its behavior to the agreement achieved in each round. This adaptive model increases the convergence toward the consensus and, therefore, reduces the number of rounds to reach it.
Keyword: Consensus; fuzzy preference relation; group decision making (GDM); linguistic modeling
URL: https://doi.org/10.1109/TFUZZ.2009.2013457
http://hdl.handle.net/2086/8180
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13
A consensus support system model for group decision-making problems with multigranular linguistic preference relations.
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