Post-consensus analysis of group decision making processes by means of a graph theoretic and an association rules mining approach

Triantaphyllou, Evangelos; Yanase, Juri; Hou, Fujun

doi:10.1016/j.omega.2020.102208

Cited by 22 publications

(2 citation statements)

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“…Interesting applications of graph association rules include health (Giordano et al., 2020; Indhumathy, Nabhan, & Arumugam, 2018), agriculture (Calçada, Rezende, & Teodoro, 2019), environment (Ciarapica, Bevilacqua, & Antomarioni, 2019), and education (Chen, Lu, Zheng, Chen, & Yang, 2018). Recently, the synergy between graphs and association rules has been considered for uncovering patterns from log data recorded at each step of a group decision process, identifying different dynamics that may exist in the way the experts make ranking decisions (Triantaphyllou, Yanase, & Hou, 2020).…”

Section: Related Workmentioning

confidence: 99%

Building k‐partite association graphs for finding recommendation patterns from questionnaire data

Maduako

Gong

2021

Transactions in GIS

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Section: Related Workmentioning

confidence: 99%

Building k‐partite association graphs for finding recommendation patterns from questionnaire data

Maduako

Gong

2021

Transactions in GIS

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“…Mining of association rules was proposed to identify dynamics that may exist during the time for experts to make ranking decisions. Then, the way of experts’ interact with each other can reach a consensus (Evangelos et al , 2020). In the social network, the key of identifying opinion leader is to make clear agents who cause the highest influence and the highest credibility.…”

Section: Literature Reviewmentioning

confidence: 99%

A study of group decision-making for green technology adoption in micro and small enterprises

Yao

Song

et al. 2020

JBIM

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Purpose Green technology adoption (GTA) in small and micro enterprises (SMEs) is a complex multi-attribute group decision-making issue. Conflicts of opinions can hamper the achievement of group coherence. The purpose of this paper is to solve the conflict decision-making problem in SMEs. Design/methodology/approach This paper reconstructs the GTA evaluation index system for SMEs and proposes an intragroup coordination relationship model to mitigate group decision-making conflicts based on the cloud model and social networks (GCS). The numerical characteristics of these GTA indicators are determined using fuzzy theory and cloud model. Findings It was found that establishing a trust relationship network and a conflict coordination relationship could improve the consistency of group decision-making. The degree of coordination has subtle differences with the trust relationship. Particularly, the coordination relationship has obvious influences on the decision-making results among small groups in SMEs. Originality/value The conflict coordination model can significantly improve the consistency of group decision-making in SMEs. At the same time, it discusses the differences between the level of conflict coordination and the trust propagation in the process of group decision-making.

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Group Decision-Making

Mao

Chen

2023

Translational Systems Sciences

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Post-consensus analysis of group decision making processes by means of a graph theoretic and an association rules mining approach

Cited by 22 publications

References 30 publications

Building k‐partite association graphs for finding recommendation patterns from questionnaire data

Building k‐partite association graphs for finding recommendation patterns from questionnaire data

A study of group decision-making for green technology adoption in micro and small enterprises

Group Decision-Making

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