Decision model for complex group argumentation

Junyi Chai, Wai Ting Ngai

Research output: Journal article publicationJournal articleAcademic researchpeer-review

10 Citations (Scopus)


This paper reports on a decision-making model that can be used for group argumentation when decisions contain twofold complexities: the problem itself and the people (i.e., the decision makers). Related studies have been well documented in literature; however, research on the group mechanism remains limited with regard to two aspects: (1) the complexities of problems and people and (2) the interaction manners of opinions derived from people. In this study, we develop a mechanism called the complex group argumentation (CGA) framework for group decision making. This solution applies the classic methodology of system designs, that is, qualitative-to-quantitative metasynthesis, and contains two core processes, namely, complexity resolution and group argumentation. From a practical perspective, we evaluate the performance of the CGA framework in the context of supplier selection (SS). Results show that our approach can satisfy the requirements of practical SS, while simultaneously coping with the disadvantages of real-world complex GDM. The results of this research can inspire studies on group argumentation in academics and provide proposals for mechanisms on the development of group support systems in the industrial community.
Original languageEnglish
Pages (from-to)223-233
Number of pages11
JournalExpert Systems with Applications
Publication statusPublished - 1 Mar 2016


  • Decision making
  • Group argumentation
  • Supplier selection
  • Supply chain

ASJC Scopus subject areas

  • Engineering(all)
  • Computer Science Applications
  • Artificial Intelligence


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