2023
DOI: 10.1007/s00500-023-08534-w
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Integrating FMEA and fuzzy super-efficiency SBM for risk assessment of crowdfunding project investment

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Cited by 4 publications
(2 citation statements)
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“…An advanced understanding of how to evaluate and mitigate the risks in sustainable power projects is important. Zhu M et al's approach [22] combines FMEA and fuzzy super-efficiency SBM, offering a nuanced risk assessment method. Similarly, Li X et al [23] and Xia Y et al [24] leverage game theory and peer-to-peer market analysis, showcasing innovative strategies for managing investment risks.…”
Section: Digital Transformation and Evaluation Applicationsmentioning
confidence: 99%
See 1 more Smart Citation
“…An advanced understanding of how to evaluate and mitigate the risks in sustainable power projects is important. Zhu M et al's approach [22] combines FMEA and fuzzy super-efficiency SBM, offering a nuanced risk assessment method. Similarly, Li X et al [23] and Xia Y et al [24] leverage game theory and peer-to-peer market analysis, showcasing innovative strategies for managing investment risks.…”
Section: Digital Transformation and Evaluation Applicationsmentioning
confidence: 99%
“…The evaluation of the investment benefits of power supply projects was categorized into four distinct grades: poor, average, good, and excellent. The determination of scoring intervals for each grade was conducted, and the computation of the standard cloud model parameters was performed utilizing Equation (22), as delineated in Table 4. Subsequent to the acquisition of the cloud model's characteristic parameters for the evaluation grades, the MATLAB 9.10 software was harnessed, in accordance with the principles of the forward cloud generator, to construct the corresponding cloud images for the evaluation grades.…”
Section: Establishment Of the Evaluation Standard Cloudmentioning
confidence: 99%