A statistical comparative study of different similarity measures of consensus in group decision making

By Francisco Chiclana, Juan Miguel Tapia García, Maria José del Moral, Enrique Herrera-Viedma. Information Sciences, 2013

347 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/76b1ef3ff53edd17ea4b01be26ba727f8d81bb3c

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In Artificial Intelligence

In Management Science and Operations Research

Citations in the corpus

A social network analysis trust-consensus based approach to group decision-making problems with interval-valued fuzzy reciprocal preference relations (2014, neutral): “Using the Hamming distance [10, 49], d(p̃ij , ũpij) = 1 2 ( |pij − up − ij |+ |p + ij − up + ij | ) .”
Consensus reaching in social network group decision making: Research paradigms and challenges (2018, background): “(3) Consensus measure A consensus measure is a function that measures the similarity degree among decision makers, which is based on the use of a distance function [42,43], in one of the two following ways: (a) Consensus measure based on distances to the collective preference.”
Trust based consensus model for social network in an incomplete linguistic information context (2015, methodology): “Consensus Index Key in the visual consensus model consists is the computation of the consensus index for each expert measuring the similarity between an expert’s provided preferences and the group of experts’ collective preferences [14, 41]: Level 1.”
Consensus Building for the Heterogeneous Large-Scale GDM With the Individual Concerns and Satisfactions (2018, neutral): “, [6] and [25]).”
A review of soft consensus models in a fuzzy environment (2014, background): “Fuzzy preference relations [31,32]: If D = [0,1] every value p in the matrix P l represents the preference degree or intensity of preference of the alternative x i over x j : p ¼ 1 = 2 indicates indif-ference between x i and x j , p ¼ 1 indicates that x i is absolutely preferred to x j , and p ij >…”
Consensus model for multi-criteria large-group emergency decision making considering non-cooperative behaviors and minority opinions (2015, background): “[34] concluded that different distance functions could often lead to significantly different decision results.”
A minimum adjustment cost feedback mechanism based consensus model for group decision making under social network with distributed linguistic trust (2018, background): “be addressed in GDM is the inconsistency of information provided by the users, which normally arises from the different background and knowledge each individual user has on the decision making problem under consideration [6, 12, 20, 31].”