Knowledge fusion-driven sustainable decision-making for mega transportation infrastructure projects

被引:0
作者
Li, Long [1 ]
Luan, Haiying [2 ]
Yuan, Mengqi [3 ]
Zheng, Ruiyan [4 ]
机构
[1] Qingdao Univ Technol, Sch Management Engn, Qingdao, Peoples R China
[2] Nanjing Univ Aeronaut & Astronaut, Coll Econ & Management, Nanjing, Peoples R China
[3] China Univ Petr, Sch Econ & Management, Qingdao, Peoples R China
[4] Dalian Univ Technol, Dept Construct Management, Dalian, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
Mega transportation infrastructure; Knowledge fusion; Cross-domain decision-making; Sustainable development; GREEN SUPPLIER SELECTION; CONSTRUCTION PROJECTS; PERFORMANCE; FRAMEWORK; MANAGEMENT; SUPPORT;
D O I
10.1108/ECAM-08-2023-0817
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
PurposeAs the scale of mega transportation infrastructure projects (MTIs) continues to expand, the complexity of engineering construction sharply increases and decision-making sustainability faces severe challenges. Decision-making for mega transportation infrastructure projects unveils the knowledge-intensive characteristic, requiring collaborative decisions by cross-domain decision-makers. However, the exploration of heterogeneous knowledge fusion-driven decision-making problems is limited. This study aims to improve the deficiencies of existing decision-making by constructing a knowledge fusion-driven multi-attribute group decision model under fuzzy context to improve the sustainability of MTIs decision-making. Design/methodology/approachThis study utilizes intuitionistic fuzzy information to handle uncertain information; calculates decision-makers and indicators weights by hesitation, fuzziness and intuitionistic fuzzy entropy; applies the intuitionistic fuzzy weighted averaging (IFWA) operator to fuse knowledge and uses consensus to measure the level of knowledge fusion. Finally, a calculation example is given to verify the rationality and effectiveness of the model. FindingsThis research finally constructs a two-level decision model driven by knowledge fusion, which alleviates the uncertainty and fuzziness of decision knowledge, promotes knowledge fusion among cross-domain decision-makers and can be effectively applied in practical applications. Originality/valueThis study provides an effective decision-making model for mega transportation infrastructure projects and guides policymakers.
引用
收藏
页数:26
相关论文
共 58 条
  • [11] A hybrid fuzzy multiple criteria group decision making approach for sustainable project selection
    Khalili-Damghani, Kaveh
    Sadi-Nezhad, Soheil
    [J]. APPLIED SOFT COMPUTING, 2013, 13 (01) : 339 - 352
  • [12] New framework for monitoring urban mobility in European cities
    Kukely, Gyorgy
    Aba, Attila
    Fleischer, Tamas
    [J]. 3RD CONFERENCE ON SUSTAINABLE URBAN MOBILITY (3RD CSUM 2016), 2017, 24 : 155 - 162
  • [13] A Combined Multi-Criteria Decision Making Approach for Improvement of Airlines' Ground Operations Performance: A Case Study from Turkiye
    Kulakli, Atik
    Sahin, Yildiz
    [J]. SYSTEMS, 2023, 11 (08):
  • [14] Li H., 2020, Research on the Metro Equipment Supplier Selection Based on Intuitionistic Fuzzy Set
  • [15] Quantifying stakeholder influence in decision/evaluations relating to sustainable construction in China - A Delphi approach
    Li, Hongyang
    Zhang, Xiaoling
    Ng, S. Thomas
    Skitmore, Martin
    [J]. JOURNAL OF CLEANER PRODUCTION, 2018, 173 : 160 - 170
  • [16] Understanding Sustainability in Off-Site Construction Management: State of the Art and Future Directions
    Li, Long
    Luan, Haiying
    Yin, Xianfei
    Dou, Yudan
    Yuan, Mengqi
    Li, Zhongfu
    [J]. JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT, 2022, 148 (11)
  • [17] A new framework of industrialized construction in China: Towards on-site industrialization
    Li, Long
    Li, Zhongfu
    Li, Xiaodong
    Zhang, Shengxi
    Luo, Xiaowei
    [J]. JOURNAL OF CLEANER PRODUCTION, 2020, 244 (244)
  • [18] Sustainable supplier selection for prefabricated megaprojects during COVID-19: a novel large group decision-making model
    Liang, Ru
    Li, Rui
    Chong, Heap-Yih
    [J]. BUILDING RESEARCH AND INFORMATION, 2023, 51 (05) : 533 - 554
  • [19] A hybrid group decision model for green supplier selection: a case study of megaprojects
    Liang, Ru
    Chong, Heap-Yih
    [J]. ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT, 2019, 26 (08) : 1712 - 1734
  • [20] Liu H., 2020, Theory and Practice of Decision Making and Governance for Megaproject