Mao Qinghua, Fan Jiacheng, Imtiaz Saqif, Mudassir Munir Hafiz, Alsenani Theyab R, Alharbi Mohammed
School of Economics and Management, Yanshan University, Qinhuangdao, 066004, China.
School of Electrical Engineering, Yanshan University, Qinhuangdao, 066004, China.
Heliyon. 2024 Aug 23;10(18):e36530. doi: 10.1016/j.heliyon.2024.e36530. eCollection 2024 Sep 30.
Offshore ship charging station (OSCS) projects can help to address the current demand for electric ships for ocean voyages to a large extent. The proper selection of the energy source for power generation is a key part of the OSCS project. To select the optimal renewable energy for OSCS with many difficulties such as the ambiguity of the decision-making environment, the differences in group assessment information, and the conflict and compensation between criteria, this paper proposed a fuzzy multi-criteria decision-making (MCDM) framework. First, a comprehensive criteria system was constructed. Second, the intuitionistic fuzzy set (IFS) was introduced to express experts' fuzzy cognition. Third, based on the quality of evaluation, a novel expert weighting method was proposed, and the generalized intuitionistic fuzzy weighted geometric interaction averaging (GIFWGIA) operator was used to aggregate the individual evaluations. Fourth, the criteria importance through intercriteria correlation (CRITIC) method, and the stepwise weight assessment ratio analysis II (SWARA II) method were introduced to determine the criteria weights. Fifth, considering criteria compensation, and individual and group ranks, the gained and lost dominance score (GLDS) method were used for ranking. Finally, to verify the applicability and reliability of the framework, a case study was conducted in Pingtan Island, Fujian Province. The results show that wind energy was the best alternative, followed by solar, wave and nuclear energy.
海上船舶充电站（OSCS）项目在很大程度上有助于满足当前远洋电动船舶的需求。为发电选择合适的能源是OSCS项目的关键部分。由于决策环境的模糊性、群体评估信息的差异以及准则之间的冲突与补偿等诸多困难，为选择OSCS的最优可再生能源，本文提出了一种模糊多准则决策（MCDM）框架。首先，构建了一个综合准则体系。其次，引入直觉模糊集（IFS）来表达专家的模糊认知。第三，基于评价质量提出了一种新颖的专家赋权方法，并使用广义直觉模糊加权几何交互平均（GIFWGIA）算子对个体评价进行集结。第四，引入准则间相关性确定准则权重法（CRITIC）和逐步权重评估比率分析II（SWARA II）法来确定准则权重。第五，考虑准则补偿以及个体和群体排序，采用得失优势得分（GLDS）法进行排序。最后，为验证该框架的适用性和可靠性，在福建省平潭岛进行了案例研究。结果表明，风能是最佳选择，其次是太阳能、波浪能和核能。
