A method for large group decision-making based on evaluation information provided by participators from multiple groups

Abstract

a b s t r a c tLarge group decision-making (LGDM) is a special group decision-making (GDM) problem, in which a large number of persons take part in decision process, while research concerning this issue is still relatively scarce. The objective of this paper is to develop a method to solve the LGDM problem, in which a large number of persons from multiple groups take part in the decision process and express their personal evaluations on the alternatives according to the pre-established identifier set. In the method, the percentage distribution on evaluations of each group concerning each alternative is determined. The decision weight of each group concerning each alternative is obtained by aggregating the subjective weight, which is provided by the organizer, and the objective weight, determined according to the level of consensus among participators' evaluations. According to the percentage distributions and decision weights, the dominance degrees on pairwise comparisons of alternatives are calculated, and a ranking of alternatives can be determined using the PROMETHEE II method. Finally, an example is given to illustrate the use of the proposed method.

A Method of Weight Update in Group DecisionMaking to Accommodate the Interests of All the Decision Makers

“…Those techniques are individual models [10], [24], adjustment method of the weights on each expert [15], and subjective and objective weights based on the interests of each DM [8], fuzzy based [25], AHP for multi-spatial problems [26], the rule of thumb (ROT) [27], three-way group decisions with decision-theoretic rough sets [28], a method for large group decision-making based on evaluation information with participators from multiple groups [29].…”

“…The classical weighting with hybrid models has been proposed to solve the problems of GDM in research. The example of those models are weights modified without involving the interests of stakeholders [31], the weighting made between participants from various stakeholders [29], hybrid models performed to determine the distance of the weight of each of the methods used in each of the criteria using AHP, fuzzy AHP, TOPSIS, Grey theory, fuzzy TOPSIS, Grey-TOPSIS [32] Grey model is used to improve the model of MCDM [32]- [34]. The combination of grey models with MCDM models uses SAW, TOPSIS and grey relational analysis (GRA).…”

“…fuzzy simple additive weighting system (FSAWS) is performed by integrating fuzzy set theory (FST), factor rating system (FRS) and SAW [8], [25] and sensitivity analysis in SAW [36]. The modification weighting was done to improve the weighting algorithm in the previous research [29], [ . The weighting hybrid model is proposed to solve the objectivity of the problems, such as hybrid models required in the MCDM by combining AHP and Entropy in order to optimize the weight values of DM based on the model of objective programming [37].…”

Adaptive semi-supervised consensus model for multi-criteria large group decision making in a linguistic setting

“…Consensus has become a prominent research subject within GDM in the last decades [10,11,12,13], with recent notable efforts on extending consensus approaches to problems involving considerably larger groups of DMs [14,15,16].…”

“…The rapid ICT 1 advances are facilitating the participation of larger groups in these problems. Thus, LGDM is attracting the attention of researchers [14,15,16], in response to the growing necessity to undertake decision problems involving dozens or hundreds of DMs. In this work we adopt the notion of LGDM from [17], as a problem involving more than 11 DMs.…”