Large-scale group decision making model based on social network analysis: Trust relationship-based conflict detection and elimination

Abstract

The paper proposes a Trust Relationship-based Conflict * Table 1 is Table 18 in the manuscript. In the two experiments, the conflict threshold is set the same as Φ = 0.3. It means that within the limited iterations T max , when the calculated group conflict degree is less that the threshold, the acceptable consensus is reached and the final decision can be made. As the results recorded in Table 1, if we set 1 *Detailed Response to Reviewers the value of Φ higher than 0.3, we can make the final decision within a few iterations. Such as, if we set Φ = 0.42 in the two experiments, we can chose the final decision with the two group conflict degrees are 0.41 after three iterations and two iterations, respectively. In other words, the higher the value of conflict threshold is, the less iterations are needed and the higher the group conflict degree is allowed before making the final decision in the LSGDM event. A smaller number of iterations implies a reduction in the temporal cost. However, the higher value of group conflict degree means the higher dissatisfaction among DMs, which may lead to some other serious group events. As there are the results of the practical scenario experiment in Table 1, we removed the section for the behaviors of parameters to Section 6.3 to make it more readable. On the other hand, if we set Φ = 0.28 in the two experiments, the numerical example can not reach the consensus in the limited 6 iterations. That is, the lower the conflict threshold is, the more iterations are needed for the LSGDM event. Comment 2: This is a wording suggestion to consider: in definition 6.1 consider using urgency level/level of urgency vs. emergency level. A decision could be very urgent but in no way an emergency.

A Personalized Consensus Feedback Mechanism Based on Maximum Harmony Degree

“…It is well known that in most of the decision making processes, the experts' opinions are vague and uncertain due to the limited of knowledge, the cost concern and the unpredictability of decision events [41]- [47]. While trust function and trust decision space is regard as an useful and basic tool to deal with uncertainty in GDM [7], [37], [48].…”

Consensus of large-scale group decision making in social network: the minimum cost model based on robust optimization

“…LSGDM in social network has received increasing attention recently [30] , [23] . As a new type of decision case, LSGDM in social network refers to the process in which experts rely on social relations and opinion support from close friends to make decisions.…”

An objective and interactive‐information‐based feedback mechanism for the consensus‐reaching process considering a non‐support degree for minority opinions

“…In such cases, a large number of DMs accept the risk of responsibility for the final decision results (Liu, Xu, Montes, Ding, & Herrera, ). A common rule used to define a LGDM problem is the number of DMs more than 11 (Liu, Zhou, Ding, et al, ; Tang & Liao, ). Recently, many scholars have considered the opinions of a large number of DMs during the CRP to ensure accurate results in LGDM (Wu & Xu, ).…”