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Multi-Dimensional Cloud Model-Based Assessment and Its Application to the Risk of Supply Chain Financial Companies

Author

Listed:
  • Jinming Zhou

    (Anhui Polytechnic University, China)

  • Yuanyuan Zhan

    (Anhui Polytechnic University, China)

  • Sibo Chen

    (Anhui Polytechnic University, China)

Abstract

The multi-dimensional cloud model is proposed as the expansion of the one-dimensional cloud model. The features of ambiguity and stochasticity in complex information situations are considered; thus, this optimized model can be utilized upon multiple value classifications and ordering via which the objects' attributes of physical and social can be reflected. Therefore, this promoted model is wildly used. This paper provides a knowledge graph by reviewing the theoretical research of the multi-dimensional cloud model and its related bibliographies, and Cite Space is applied here to give a visualization conclusion. In recent years, a multitude of theories and methods have emerged to address the challenges posed by fuzzy and stochastic uncertainty in various domains, such as image segmentation, data mining, prediction techniques, and comprehensive evaluation of multiple metrics and dimensions using uncertain linguistic variables.

Suggested Citation

  • Jinming Zhou & Yuanyuan Zhan & Sibo Chen, 2024. "Multi-Dimensional Cloud Model-Based Assessment and Its Application to the Risk of Supply Chain Financial Companies," International Journal of Fuzzy System Applications (IJFSA), IGI Global, vol. 13(1), pages 1-29, January.
    • Handle: RePEc:igg:jfsa00:v:13:y:2024:i:1:p:1-29
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    References listed on IDEAS

    as
    1. Qi Wu & Aina Qi & Guanglei Zhao, 2022. "Evaluation of energy utilisation efficiency of central air conditioning in large buildings based on entropy weight-cloud model," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 44(2/3), pages 198-216.
    2. Beynon, Malcolm & Curry, Bruce & Morgan, Peter, 2000. "The Dempster-Shafer theory of evidence: an alternative approach to multicriteria decision modelling," Omega, Elsevier, vol. 28(1), pages 37-50, February.
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