Tan Jiade, Liu Yi, Senapati Tapan, Garg Harish, Rong Yuan
School of Science, Xihua University, Chengdu, 610039 Sichuan People's Republic of China.
School of Mathematics and Information Sciences, Neijiang Normal University, Neijiang, 641100 Sichuan People's Republic of China.
J Ambient Intell Humaniz Comput. 2022 Mar 22:1-30. doi: 10.1007/s12652-022-03769-1.
The assessment of investment risk for the countries along the route in Belt and Road (B&R) can be deemed as a multiple criteria group decision making (MCGDM) issue since multiple investment options based on diverse criterions are assessment by experts. Pondering that the complexity and uncertainty of the assessment setting and the cognition fuzziness and psychological behavior of experts bring challenges to risk assessment, this paper designed an integrated MCGDM risk investment evaluation framework by synthesizing MABAC method and prospect theory under Fermatean fuzzy setting. Firstly, a Fermatean fuzzy interactive distance measure is presented to ascertain the weight of evaluation experts and criterions. Next, some Fermatean fuzzy Frank aggregation operators based upon the proposed Frank operations are developed to fuse Fermatean fuzzy information efficiently. In addition, an innovative evaluation framework for risk investment is designed based on improved prospect theory MABAC and CRITIC approaches. Conclusively, an empirical concerning risk investment issues in B&R is employed to confirm the applicability and feasibility of the constructed evaluation framework, involving the simulation experiments on sensitivity analysis and contrast studies. The assessment information provided by investors using the linguistic assessment terms based upon their cognition ability of them. These outcomes obtained by the propounded method and comparison analysis further emphasize the validity and salient merits of the propounded framework and provide several auxiliary suggestions for investors.
“一带一路”沿线国家投资风险评估可被视为一个多准则群体决策（MCGDM）问题，因为专家们会基于不同标准对多种投资选项进行评估。鉴于评估环境的复杂性和不确定性以及专家的认知模糊性和心理行为给风险评估带来挑战，本文在费马模糊环境下，通过综合MABAC方法和前景理论，设计了一个集成的MCGDM风险投资评估框架。首先，提出了一种费马模糊交互式距离测度，以确定评估专家和标准的权重。其次，基于所提出的弗兰克运算，开发了一些费马模糊弗兰克聚合算子，以有效地融合费马模糊信息。此外，基于改进的前景理论MABAC和CRITIC方法，设计了一种创新的风险投资评估框架。最后，通过一个关于“一带一路”风险投资问题的实证研究，来验证所构建评估框架的适用性和可行性，包括敏感性分析的模拟实验和对比研究。投资者根据其认知能力使用语言评估术语提供评估信息。通过所提出的方法和比较分析得到的这些结果进一步强调了所提出框架的有效性和显著优点，并为投资者提供了一些辅助建议。
