<p>Photovoltaic power generation has been widely applied worldwide. Compared with investment decisions for conventional power projects, photovoltaic projects are exposed to higher investment risks. As relevant technologies continue to mature, government supportive policies will gradually be scaled back year by year. Accordingly, investment decisions for photovoltaic schemes will confront growing uncertainties and associated risks. In this context, evaluating the investment risks of photovoltaic projects carries both practical value and theoretical significance. The risk assessment of engineering projects under the influence of new quality, productive forces may be contemplated from the multiple-attribute group decision-making (MAGDM) perspective, wherein Logarithmic TODIM methodology plays an essential role in the current solution landscape. As the focus shifts to evaluating engineering project risks in terms of quality, productive forces, inherent uncertainties are involved in the decisions, and single-valued neutrosophic sets (SVNSs) are employed to represent the ambiguity of information. Therefore, this paper proposes a novel integrated SVNN-LogTODIM approach to deal with MAGDM issues in a neutrosophic environment. To demonstrate the applicability and validity of the proposed approach, a comprehensive numerical example is provided for evaluating the engineering project risk of photovoltaic power generation projects to support high-standard production.</p>