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Article type: Research Article
Authors: Wang, Jiangruia; b; c | Zhu, Jiweia; b; c; * | Zhao, Xina; b; c | Li, Liangb | Wang, Binga; b; c
Affiliations: [a] State Key Laboratory of Eco-Hydraulics in Northwest Arid Region, Xi’an University of Technology, Xi’an, China | [b] Research Center of Eco-Hydraulics and Sustainable Development, The New Style Think Tank of Shaanxi Universities, Xi’an, China | [c] Department of Engineering Management, Xi’an University of Technology, Xi’an, China
Correspondence: [*] Corresponding author. Jiwei Zhu, Tel.: +86 183 0929 9116; E-mail: [email protected].
Abstract: Expert group decision-making in the process of engineering consulting is an important part of the smooth development of engineering projects. Whether the conceptual design scheme of the project is reasonable or not will directly affect the construction quality of the project. After the preliminary selection of a river ecological governance project, four conceptual design schemes were obtained. The owner invited 20 experts in relevant fields to make decisions on the four schemes collected in the early stage. The experts gave preference information for each scheme after reading the relevant materials of the project and clarifying the actual needs of the project. Based on this background, this paper uses a combination of quantitative and qualitative methods to construct a model for group decision-making and conflict resolution in the engineering consulting process. We use the preference relationship to reflect the degree of experts’ preference for the scheme, cluster them through similarity calculation, calculate the conflict degree of group preference and personal preference respectively, and comprehensively use the sequence difference method and personal preference correction method to resolve the conflict, so that their opinions can be quickly agreed within the specified time. The results calculated by model are consistent with the actual situation of the project, which verifies the effectiveness of the model proposed in this paper and can provide a reference for similar project decision-making and conflict resolution process.
Keywords: Group decisions and negotiations, engineering consulting, conflict resolution, preference correction
DOI: 10.3233/JIFS-222099
Journal: Journal of Intelligent & Fuzzy Systems, vol. 44, no. 1, pp. 889-904, 2023
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