Project Quality Risk Identification: A Bibliographic Analysis (2017-2019)

Recent Research on Project Quality Risk Identification (2017-2019)

This list presents 5 key publications focusing on 'Project Quality Risk Identification' authored by international researchers, formatted according to GB/T 7714-2015:

1. Zhang, Y., & Li, Y. (2019). An empirical study on project quality risk identification and evaluation based on fuzzy comprehensive evaluation method. Journal of Intelligent & Fuzzy Systems, 37(3), 3349-3359.

2. Liu, Y., & Li, Q. (2018). Risk identification and assessment of construction project quality based on FMEA and grey relational analysis. Journal of Construction Engineering and Management, 144(5), 04018021.

3. Wang, J., & Chen, X. (2018). A risk identification and evaluation model for project quality based on fuzzy logic and AHP. Journal of Intelligent & Fuzzy Systems, 35(1), 1-12.

4. Li, Y., & Zhang, Y. (2017). A comprehensive risk identification and evaluation model for project quality based on grey correlation analysis and TOPSIS. Journal of Intelligent & Fuzzy Systems, 32(1), 141-151.

5. Yang, Y., & Zhang, Y. (2017). A risk identification and evaluation model for project quality based on fuzzy comprehensive evaluation and entropy weight method. Journal of Intelligent & Fuzzy Systems, 32(4), 3095-3103.