Group Decision-Making Model With Incomplete Fuzzy Preference Relations Based on Additive Consistency

By Enrique Herrera-Viedma, Francisco Chiclana, Francisco Herrera, Sergio Alonso. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics), 2007

594 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/2d1ec853897c8c2aca1670bc429bf8bfdfabae9f

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Citations in the corpus

A web based consensus support system for group decision making problems and incomplete preferences (2010, methodology): “In such situations experts may prefer not to guess some values and thus, not to give part of the required information, that is, they would provide incomplete information [3,16,30,37,38,56,57,59,54].”
Managing the consensus in group decision making in an unbalanced fuzzy linguistic context with incomplete information (2010, methodology): “To solve GDM problems with this kind of preference relations, firstly, it is necessary to deal with the missing values [4, 29, 30, 38, 39].”
The Induced Generalized OWA Operator (2009, background): “In the last years, the IOWA operator has been receiving increasing attention as it is seen in the different works developed about it such as [7-8,12-13,25,3132,34].”
Analyzing consensus approaches in fuzzy group decision making: advantages and drawbacks (2010, background): “To do so, different choice degrees of alternatives could be used [16,23].”
Integrating experts' weights generated dynamically into the consensus reaching process and its applications in managing non-cooperative behaviors (2016, background): “There are several different preference representation formats, including utility functions [51], preference orderings [47], multiplicative preference relations [46,48], additive preference relations [27,36,51], and linguistic preference relations [14,44,50].”
A social network analysis trust-consensus based approach to group decision-making problems with interval-valued fuzzy reciprocal preference relations (2014, background): “Aggregation based on consensus level and trust degree In addition to the trust degree, the consistency degree or consensus level can also be regarded as reliable sources to derive experts’ aggregation weights [7, 24, 25, 42, 43].”
Fuzzy Group Decision Making With Incomplete Information Guided by Social Influence (2018, methodology): “In particular, we focus on the model discussed in [30] because missing values are estimated combining additive reciprocity and additive transitivity properties.”
New decision-making techniques and their application in the selection of financial products (2010, background): “Note that we may find in the literature a wide range of other decision-making methods, such as [4,15–17,32,38,39,41–43,52,56].”
A Consensus Model for Group Decision Making With Incomplete Fuzzy Preference Relations (2007, methodology): “the higher the chance of inconsistency [19].”
Computing the Numerical Scale of the Linguistic Term Set for the 2-Tuple Fuzzy Linguistic Representation Model (2009, methodology): “In Section V-B, we will construct a good linkage of the consistency index of the transitive calibration matrix to the additive transitivity property introduced by Alonso et al. [1], Herrera-Viedma et al. [ 25 ], [26], and Tanino [40] and analyze the physical implication of this consistency index in ”