In order to increase their market competitiveness, construction companies have started to undertake multiple projects simultaneously. Project management is not suitable for managing multiple projects. In order to achieve benefits that cannot be obtained from a single project, construction companies have started to form project groups and use project group management methods to manage them. The project group management model not only brings more benefits to construction enterprises, but also increases many problems. Taking the project group of a certain construction enterprise as an example, a hierarchical structure model is established from four aspects: information, environment, management, and cooperation. 12 secondary indicators are selected, and an improved Analytic Hierarchy Process (AHP) three scale method is used to establish a judgment matrix. The weight vector is calculated and fuzzy comprehensive evaluation is carried out. The results indicate that the fuzzy comprehensive evaluation of the project group of the construction enterprise is safe.

Sun Yu, Wu Hongxin. Risk analysis of project groups based on improved fuzzy comprehensive evaluation. International Journal of Frontiers in Engineering Technology (2024), Vol. 6, Issue 1: 83-91. https://doi.org/10.25236/IJFET.2024.060114.

[1] Gao Peng, Feng Junwen. Research on Enterprise Project Group Management Model: A Strategic Perspective [J]. Technology Management Research, 2009, 29 (06): 301-302+290.

[2] Zeng Yucheng, Wang Junchuan, Ren Peiyu. Research on Project Portfolio Management Process Based on Enterprise Strategy [J]. Statistics and Decision Making, 2010 (09): 177-180.

[3] Hu Changming, Liu Kai, Dong Xiang, Zhang Likui. Organizational structure and evaluation of multi project management [J]. Journal of Guangxi University (Natural Science Edition), 2014, 39 (01): 206-213.

[4] Liu Liguo, Xiao Lizhou. Research on the Application of Project Group Management in Construction Projects [J]. Engineering Construction and Design, 2013 (03): 166-168.

[5] Li Dongping. Research on the "Regional Chain+Project Cluster" Project Management Model of Construction Enterprises: A Case Study Based on H Company [J]. Chinese Certified Public Accountant, 2022 (06): 96-100.

[6] Han Erdong. Analysis of the Impact of Conflict Games on the Comprehensive Benefits of Engineering Project Groups [J]. Technology and Innovation, 2021 (07): 71-72+75.

[7] Yan Hongyan, Hu Ping, Zhou Chunmei. Research on Multi subject Collaborative Management of Construction Project Groups [J]. Hunan Social Sciences, 2021 (06): 76-82.

[8] Yang Chao, Yu Lipeng, Yu Wei. Research on EPC Project Group Management Practice - Taking the Saudi Aramco Project as an Example [J]. Construction Economy, 2020, 41 (07): 28-31.

[9] Peng Wuliang, Chen Liangwei, Ma Xueli. Research on the Dual Objective Optimization Method for Distributed Project Group Scheduling [J]. Journal of Management Engineering, 2021, 35 (05): 131-140.

[10] Yang Yanhong, Wang Yubin. Research and Implementation of Risk Management for Major Meteorological Engineering Projects: A Case Study of Meteorological Guarantee Engineering for Flood Geological Disaster Prevention and Control [J]. Project Management Technology, 2019, 17 (04): 72-76

[11] Wen yuancen. Research on risk prediction based on water conservancy and hydropower project group coordination [J]. Heilongjiang water conservancy science and technology, 2018, 46 (10): 59-63

[12] Jiang Feng, Cao Kang, Chen Chen, et al. Application of Three Scale AHP in Safety Evaluation of Crude Oil Tanks on Offshore Platforms [J]. Journal of Lanzhou University of Technology, 2016, 42 (05): 68-72.

[13] Wang Yike, Fang Guohua, Zhang Yu, et al. Risk assessment of river type water source areas based on improved fuzzy comprehensive evaluation [J]. South to North Water Diversion and Water Conservancy Technology (Chinese and English), 2022, 20 (04): 670-681.

[14] Huang De, Liu Jian, Li Xuebing, et al. Application of the 3-scale Analytic Hierarchy Process Fuzzy Extension Model in Gas Extraction Standard Evaluation [J]. World Science and Technology Research and Development, 2016, 38 (03): 544-549.