Mao Qinghua, Gao Yaqing, Fan Jiacheng
School of Economics and Management, Yanshan University, Qinhuangdao, People's Republic of China.
Environ Technol. 2025 Mar;46(7):1112-1137. doi: 10.1080/09593330.2024.2376291. Epub 2024 Jul 17.
Carbon Capture, Utilization and Storage (CCUS) is an indispensable technology for achieving a net-zero emission society. The offshore CCUS project is still in its infancy. To promote its sustainable development, developing a comprehensive framework for investment decision-making is very crucial. First, a comprehensive evaluation criteria system is established. Second, in order to characterize the ambiguity and uncertainty of information in the process of making decisions, the interval-valued fermatean fuzzy set (IVFFS) is introduced, and the extended variance method of IVFFS is proposed to systematically calculate the weights of experts. Then, the power weighted average (PWA) operator based similarity measure of IVFFSs is developed to aggregate different expert information. Meanwhile, the fuzzy-weighted zero-inconsistency (FWZIC) method and the method based on the removal effects of criteria (MEREC) are used to determine the criteria weights. In addition, considering the interactions between the criteria, we introduce the Hamacher operator into the measurement of alternatives and ranking according to the compromise solution (MARCOS) method to select the optimal alternative in the interval-valued fermatean fuzzy (IVFF) environment. The suggested framework is then used to analyse a case study. After that, sensitivity and comparative analyses are conducted to confirm its robustness and viability. This study creates a practical investment framework for offshore CCUS projects, identifies a number of investment-sensitive criteria and provides management insights. The proposed framework expands the methods and applications in the field of decision-making and provides a scientific approach for investment decision-making in offshore CCUS projects, which can be a useful reference for managers.
碳捕获、利用与封存(CCUS)是实现净零排放社会不可或缺的技术。海上CCUS项目仍处于起步阶段。为促进其可持续发展,制定一个全面的投资决策框架至关重要。首先,建立一个全面的评估标准体系。其次,为了刻画决策过程中信息的模糊性和不确定性,引入区间值费马模糊集(IVFFS),并提出IVFFS的扩展方差法来系统计算专家权重。然后,开发基于IVFFS相似度测度的幂加权平均(PWA)算子来聚合不同专家信息。同时,运用模糊加权零不一致性(FWZIC)方法和基于准则去除效应的方法(MEREC)来确定准则权重。此外,考虑到准则之间的相互作用,将哈马赫算子引入到区间值费马模糊(IVFF)环境下的方案测度和基于折衷解的排序方法(MARCOS)中,以选择最优方案。然后,利用所提出的框架对一个案例进行分析。之后,进行敏感性分析和比较分析以确认其稳健性和可行性。本研究为海上CCUS项目创建了一个实用的投资框架,识别了一些投资敏感准则,并提供了管理见解。所提出的框架扩展了决策领域的方法和应用,为海上CCUS项目的投资决策提供了一种科学方法,可为管理者提供有益参考。