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A Large Group Decision Making Method Considering Experts’ Non-cooperative Behavior for Investment Selection of Renewable Energy Projects. INT J COMPUT INT SYS 2022. [DOI: 10.1007/s44196-022-00153-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
Abstract
AbstractThe rapid expansion of renewable energy has attracted the attention of investors, which makes the evaluation of renewable energy projects a momentous issue. As the investment selection of renewable energy projects requires the joint discussion of experts from different professional backgrounds (such as energy, transportation, construction, economy, environment, etc.), it belongs to the category of large group decision-making (LGDM). Therefore, this paper is devoted to propose a novel LGDM method considering experts’ non-cooperative behavior for investment selection of renewable energy projects. First, considering that the complexity of renewable energy projects makes it difficult for experts to express their views in a single linguistic word, the hesitant fuzzy linguistic term set is used as the tool for expert evaluation in this paper. Second, since the assessment information provided by experts from different fields are often heterogeneous, a consensus-reaching process with a feedback mechanism is introduced which comprehensively considers three reliable sources: the experts’ trust relationship in the social trust network, the consensus contribution in the subgroup and the opinions’ similarity among experts. Further, to improve the efficiency and rationality of decision-making, an experts’ historical adjustment data-based non-cooperative behavior management method is proposed. Finally, the effectiveness and innovation of the proposed method are verified by a case of renewable energy power generation project investment selection in Qingdao, China and a series of comparative analysis.
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Dynamic consensus of large group emergency decision-making under dual-trust relationship-based social network. Inf Sci (N Y) 2022. [DOI: 10.1016/j.ins.2022.09.067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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Wang J, Zhu J, Zhao X, Li L, Wang B. Research on expert group decision-making and conflict resolution in complex engineer-ing consulting process. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2022. [DOI: 10.3233/jifs-222099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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, which can provide a reference for similar project decision-making and conflict resolution process.
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Affiliation(s)
- Jiangrui Wang
- State Key Laboratory of Eco-Hydraulics in Northwest Arid Region, Xi’an University of Technology, Xi’an, China
- Research Center of Eco-Hydraulics and Sustainable Development, The New Style Think Tank of Shaanxi Universities, Xi’an, China
- Department of Engineering Management, Xi’an University of Technology, Xi’an, China
| | - Jiwei Zhu
- State Key Laboratory of Eco-Hydraulics in Northwest Arid Region, Xi’an University of Technology, Xi’an, China
- Research Center of Eco-Hydraulics and Sustainable Development, The New Style Think Tank of Shaanxi Universities, Xi’an, China
- Department of Engineering Management, Xi’an University of Technology, Xi’an, China
| | - Xin Zhao
- State Key Laboratory of Eco-Hydraulics in Northwest Arid Region, Xi’an University of Technology, Xi’an, China
- Research Center of Eco-Hydraulics and Sustainable Development, The New Style Think Tank of Shaanxi Universities, Xi’an, China
- Department of Engineering Management, Xi’an University of Technology, Xi’an, China
| | - Liang Li
- Research Center of Eco-Hydraulics and Sustainable Development, The New Style Think Tank of Shaanxi Universities, Xi’an, China
| | - Bing Wang
- State Key Laboratory of Eco-Hydraulics in Northwest Arid Region, Xi’an University of Technology, Xi’an, China
- Research Center of Eco-Hydraulics and Sustainable Development, The New Style Think Tank of Shaanxi Universities, Xi’an, China
- Department of Engineering Management, Xi’an University of Technology, Xi’an, China
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Zhou Y, Zheng C, Goh M. Statistics-based approach for large-scale group decision-making under incomplete Pythagorean fuzzy information with risk attitude. Knowl Based Syst 2022. [DOI: 10.1016/j.knosys.2021.107654] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Hua Z, Xue H. A Maximum Consensus Improvement Method for Group Decision Making Under Social Network with Probabilistic Linguistic Information. Neural Process Lett 2021. [DOI: 10.1007/s11063-021-10639-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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An axiomatic design-based mathematical programming method for heterogeneous multi-criteria group decision making with linguistic fuzzy truth degrees. Inf Sci (N Y) 2021. [DOI: 10.1016/j.ins.2021.04.091] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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