Renewable energy has been actively researched and developed in many countries to replace the conventional energy resources that come from fossil fuels. As social and environmental awareness of the renewable energy has grown, it is essential to address both quantitative factors and qualitative factors in determination of the optimal renewable energy portfolio. This paper proposes a novel approach to integrate a financial model and a fuzzy model to analyze both quantitative and qualitative factors. The financial model is utilized to calculate the quantitative factors, thereby assisting experts make judgments more accurately in the fuzzy model. The fuzzy model is utilized to evaluate the qualitative factors based on the expert judgements. Moreover, this paper proposes multi-segment judgment model that analyzes the evaluation of different groups, including government, investor and user groups. The results show that each group has different priority order. For example, the highest-priority factor of Government, Investor and User is environmental (with a score of 0.665), economic (with a score of 0.854), and technological criteria (with a score of 0.771), respectively. The results also indicated that small-scale onshore wind energy, large-scale onshore wind energy and solar energy is the best option for Government, Investor and User, respectively.

许多国家都在积极研究和开发可再生能源，以取代来自化石燃料的常规能源。随着可再生能源的社会和环境意识的增强，在确定最佳可再生能源组合时必须同时考虑定量因素和定性因素。本文提出了一种整合财务模型和模糊模型的新方法，以分析定量和定性因素。利用财务模型计算量化因子，从而在模糊模型中辅助专家更准确的判断。模糊模型用于基于专家判断来评估定性因素。此外，本文提出了多段判断模型，分析不同群体的评价，包括政府、投资者和用户群体。结果表明，每个组具有不同的优先级顺序。例如，政府、投资者和用户的最高优先级因素分别是环境（得分为 0.665）、经济（得分为 0.854）和技术标准（得分为 0.771）。结果还表明，小型陆上风能、大型陆上风能和太阳能分别是政府、投资者和用户的最佳选择。