With the vigorous development of major engineering projects in China, the social risks associated with major construction projects not only challenge the success of projects but also threaten social harmony and stability. erefore, it is of great practical signi cance to assess and manage social risks. is paper aims to identify and evaluate the social risk factors by conducting a survey and assess the overall risk level of major construction projects (MCPs) with fuzzy integrated approach. First, 35 social risk factors and related stakeholders were identi ed based on literature analysis and case study. en, 18 critical social risk factors (CSRFs) were selected and classi ed into six groups (CSRGs) based on a questionnaire survey. Next, using fuzzy integrated method, the probability of occurrence (PO), magnitude of impact (MI), the integrated risk level (IRL) of each CSRF and CSRG, and the overall risk of MCPs were calculated. As a result, "unfair compensation for housing demolition and land requisition" was the most critical social risk factor, and "policy/legal risk" was the most critical social risk group. e overall risk of MCPs was between moderate and high. At last, a social risk synthetic management framework was established, which can provide reference for policymakers and project decision makers to e ectively manage the social risks.

The inter/extrapolation accuracy of the cubic polynomial method has been improved by optimizing three frequency samples for frequency-sweeping in the method of moments (MoM). In the method, the frequency samples are optimized by minimizing the global maximum of the polynomial component at the stationary points and two terminal points of the frequency band. The optimal frequency samples can be expressed as analytical forms of the two terminal points. Numerical examples are presented to validate the proposed method through comparison with the Padé approximation.

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