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

Group decision making (GDM) problem based on different preference relations aims to obtain a collective opinion based on various preference structures provided by a group of decision makers (DMs) or experts, those who have varying backgrounds and interests in real world. The decision process in proposed question includes three steps: integrating varying preference structures, reaching consensus opinion, selecting the best alternative. Two major approaches: preference transformation and optimization methods have been developed to deal with the issue in first step. However, the transformation processes causes information lose and existing optimization methods are so computationally complex that it is not easy to be used by management practice. This study proposes a new consistency-based method to integrate multiplicative and fuzzy preference relations, which is based on a cosine similarity measure to derive a collective priority vector. The basic idea is that a collective priority vector should be as similar per column as possible to a pairwise comparative matrix (PCM) in order to assure the group preference has highest consistency for each decision makers. The model is computationally simple, because it can be solved using a Lagrangian approach and obtain a collective priority vector following four simple steps. The proposed method can further used to derive priority vector of fuzzy AHP. Using three illustrative examples, the effectiveness and simpleness of the proposed model is demonstrated by comparison with other methods. The results show that the proposed model achieves the largest cosine values in all three examples, indicating the solution is the nearest theoretical perfectly consistent opinion for each decision makers.

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“…accepted by non-cooperative decision makers [10,11,12,13,14]. 3) Selecting the best alternative from the collective opinion.…”

Section: Introductionmentioning

confidence: 99%

A Similarity Measure-based Optimization Model for Group Decision Making with Multiplicative and Fuzzy Preference Relations

Chao

Kou

2016

INT J COMPUT COMMUN

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“…The complexity of GEDM problems could imply not only the use of a non-homogeneous context in which multiple information types can be utilized by experts to elicit their knowledge and expertise, but also the modeling of uncertain assessments including hesitancy. However, current EDM approaches deal with the information using only one expression domain: numerical values [4], interval values [3] or linguistic information [6].…”

Section: Introductionmentioning

confidence: 99%

“…The Consensus Reaching Process (CRP) is a way to integrate group wisdom into one and then reach an agreement among all experts in the GEDM problem. There are already different approaches [1,4,11] focused on how to reach as much agreement as possible among all experts participating in the problem. However, they have strict expression domains [1,11]; or time cost [4,5].…”

Section: Introductionmentioning

confidence: 99%

“…When an emergency event (EE) occurs, Emergency Decision Making (EDM) is typically characterized by at least uncertainty, time pressure, and lack of information, resulting in potentially serious consequences [1]. Since EDM plays a crucial role in alleviating the losses of properties and lives caused by EEs, it has received increasing attention from both government and academia because of the frequent occurrence of EEs, becoming a very active and important research field in recent years [1][2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

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Managing Non-Homogeneous Information and Experts’ Psychological Behavior in Group Emergency Decision Making

et al. 2017

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Abstract:After an emergency event (EE) happens, emergency decision making (EDM) is a common and effective way to deal with the emergency situation, which plays an important role in mitigating its level of harm. In the real world, it is a big challenge for an individual emergency manager (EM) to make a proper and comprehensive decision for coping with an EE. Consequently, many practical EDM problems drive group emergency decision making (GEDM) problems whose main limitations are related to the lack of flexibility in knowledge elicitation, disagreements in the group and the consideration of experts' psychological behavior in the decision process. Hence, this paper proposes a novel GEDM approach that allows more flexibility for preference elicitation under uncertainty, provides a consensus process to avoid disagreements and considers experts' psychological behavior by using the fuzzy TODIM method based on prospect theory. Eventually, a group decision support system (GDSS) is developed to support the whole GEDM process defined in the proposed method demonstrating its novelty, validity and feasibility.

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“…Inconsistency is usually resolved by consensus process [4,8,24,45,46,51] in an effort to achieve a high enough degree of agreement between the set of experts in the group [1,22,40,43,55]. Most of the developed consensus models incorporate recommendation mechanisms to provide advice to the inconsistent experts with low consensus level in order to increase and ultimately reach a higher acceptable consensus degree by the group of experts [9,27,29,30,37,50]. These traditional recommendation mechanisms generate advices using the arithmetic average of opinion derived from individual expert in the group, and then the existence of trust relationship among the experts is not taken into account.…”

mentioning

confidence: 99%

A trust induced recommendation mechanism for reaching consensus in group decision making

Liu

Liang

Chiclana

et al. 2017

Knowledge-Based Systems

158

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

Cited by 376 publications

References 32 publications

A Similarity Measure-based Optimization Model for Group Decision Making with Multiplicative and Fuzzy Preference Relations

A Similarity Measure-based Optimization Model for Group Decision Making with Multiplicative and Fuzzy Preference Relations

Managing Non-Homogeneous Information and Experts’ Psychological Behavior in Group Emergency Decision Making

A trust induced recommendation mechanism for reaching consensus in group decision making

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