Optimizing sustainable renewable energy portfolios is one of the most complicated decision making problems in energy policy planning. This process involves meeting the decision maker’s preferences, which can be uncertain, while considering several conflicting criteria, such as environmental, societal, and economic impact. In this paper, rather than using existing techniques, a novel multi-objective decision making (MODM) model, named fuzzy goal programming with interval target (FGP-IT), is proposed and constructed based on recent developments and concepts in fuzzy goal programming (FGP) and revised multi-choice goal programming (RMCGP). The model deals with decision making problems involving a high level of uncertainty by offering decision makers a more flexible way to formulate and express their preferences, namely, fuzzy interval target goals. The proposed method is used to optimize a hypothetical sustainable wind energy portfolio in Algeria. The results show that the FGP-IT model is capable of assisting decision makers with uncertain preferences in making such complicated decisions.

中文翻译：

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具有区间目标模型的模糊目标规划及其在可再生能源规划决策中的应用

优化可持续可再生能源投资组合是能源政策规划中最复杂的决策问题之一。这个过程涉及满足决策者的偏好，这可能是不确定的，同时要考虑几个相互矛盾的标准，例如环境，社会和经济影响。本文基于模糊目标规划的最新发展和概念，提出并构建了一种新颖的多目标决策模型（MODM），称为带间隔目标的模糊目标规划（FGP-IT），而不是使用现有技术。 FGP）和修订的多项选择目标编程（RMCGP）。该模型通过为决策者提供一种更灵活的方式来表达和表达其偏好（即模糊区间目标），来解决涉及高度不确定性的决策问题。所提出的方法用于优化阿尔及利亚的假设可持续风能投资组合。结果表明，FGP-IT模型能够帮助偏好不确定的决策者做出如此复杂的决策。