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Journal ArticleDOI

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

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TLDR
A comparative study of the effect of the application of some different distance functions for measuring consensus in GDM, using the nonparametric Wilcoxon matched-pairs signed-ranks test, and concludes that differentdistance functions can produce significantly different results.
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This article is published in Information Sciences.The article was published on 2013-02-01. It has received 304 citations till now. The article focuses on the topics: Group decision-making & Metric (mathematics).

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Citations
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Journal ArticleDOI

A review of soft consensus models in a fuzzy environment

TL;DR: This paper presents an overview of consensus models based on soft consensus measures, showing the pioneering and prominent papers, the main existing approaches and the new trends and challenges.
Journal ArticleDOI

Trust based consensus model for social network in an incomplete linguistic information context

TL;DR: A trust based estimation and aggregation methods as part of a visual consensus model for multiple criteria group decision making with incomplete linguistic information and it is proved that the implementation of the visual feedback mechanism guarantees the convergence of the consensus reaching process.
Journal ArticleDOI

Consensus model for multi-criteria large-group emergency decision making considering non-cooperative behaviors and minority opinions

TL;DR: An improved consensus model is proposed for large-group emergency decision making and an approach to managing minority opinions and non-cooperative behaviors is described, and the concept of comprehensive adjustment coefficient is put forward.
Journal ArticleDOI

Consensus Building for the Heterogeneous Large-Scale GDM With the Individual Concerns and Satisfactions

TL;DR: In this consensus reaching model, a selection process is proposed to obtain the individual preference vectors, to divide decision makers into different clusters, and to yield the preference vector of the large group.
References
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Book

Fuzzy sets

TL;DR: A separation theorem for convex fuzzy sets is proved without requiring that the fuzzy sets be disjoint.
Book

Nonparametric statistics for the behavioral sciences

Sidney Siegel
TL;DR: This is the revision of the classic text in the field, adding two new chapters and thoroughly updating all others as discussed by the authors, and the original structure is retained, and the book continues to serve as a combined text/reference.
Book ChapterDOI

Individual Comparisons by Ranking Methods

TL;DR: The comparison of two treatments generally falls into one of the following two categories: (a) a number of replications for each of the two treatments, which are unpaired, or (b) we may have a series of paired comparisons, some of which may be positive and some negative as mentioned in this paper.
Book

Introduction to Modern Information Retrieval

TL;DR: Reading is a need and a hobby at once and this condition is the on that will make you feel that you must read.
Journal ArticleDOI

On ordered weighted averaging aggregation operators in multicriteria decisionmaking

TL;DR: A type of operator for aggregation called an ordered weighted aggregation (OWA) operator is introduced and its performance is found to be between those obtained using the AND operator and the OR operator.
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