A linguistic modeling of consensus in group decision making based on OWA operators

Automated Group Decision Support Systems Under Uncertainty: Trends and Future Research

“…Since then, the OWA based aggregation strategies have been widely investigated and achieved many successful applications in many areas, such as decision making [9] …”

“…The first paradigm for aggregating linguistic information is to directly work on linguistic labels, the only requirement is that these linguistic labels should satisfy an ordinal relation. In [9], Bordogna et al proposed a method of modelling consensus linguistically in group decision making, in which both the experts' evaluations of alternatives and the degree of consensus are expressed linguistically and overall linguistic performance evaluation is completed through a linguistic OWA operator based aggregation. Another linguistic OWA operator proposed by Herrera et al [37] integrates the OWA operator [97] and a convex combination method of linguistic labels.…”

“…However, in real world applications, humans exhibit remarkable capability to manipulate perceptions, such as perceptions of distance, size, weight, likelihood, and other characteristics of physical and mental objects, without any measurements and any computations [109]. Specifically, in group decision making, based on the linguistic judgments for each expert on each alternative with respect to each criterion, a promising framework of evaluating the overall judgments of the alternatives for each expert is via an aggregation of the linguistic judgments on each alternative with respect to the criteria [9]. Currently there are two main paradigms for aggregating linguistic information.…”

“…This sort of "soft" majority can be characterised by fuzzy logic based linguistic quantifiers [10][55] [78] [79]. Hence, there is a growing stream of research on group decision making devoted to attacking the challenging task of reaching a consensus decision based on fuzzy logic techniques [3][6] [9][26] [53][54] [57]. The purpose of this paper is to make an effort to provide an in-depth survey and analysis of state-of-the-art research in fuzzy logic based group decision making.…”

A decision support model for multi-attribute group decision making using a multi-objective optimization approach

“…A consensus reaching process is a dynamic and iterative process composed by several rounds where the experts express, discuss, and modify their preferences 19 . How to obtain the maximum consensus for the given problem is a hot issue which has been received considerable attention in recent years, and various approaches and methods have been developed to achieve this aim 11,13,20,17,21,22,19,23 .…”