基于云模型的多维评估及其在供应链金融企业风险中的应用

Q3 Computer Science
Jinming Zhou, Yuanyuan Zhan, Sibo Chen
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引用次数: 0

摘要

多维云模型是对一维云模型的扩展。考虑到复杂信息环境中的模糊性和随机性特点,该优化模型可用于多种价值分类和排序,并通过这些价值分类和排序反映对象的物理和社会属性。因此,这种推广模式得到了广泛应用。本文通过回顾多维云模型的理论研究及其相关文献,提供了一个知识图谱,并应用引用空间(Cite Space)给出了一个可视化结论。近年来,针对模糊和随机不确定性在各个领域带来的挑战,出现了大量的理论和方法,如图像分割、数据挖掘、预测技术,以及利用不确定语言变量对多个指标和维度进行综合评价等。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-Dimensional Cloud Model-Based Assessment and Its Application to the Risk of Supply Chain Financial Companies
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.
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来源期刊
International Journal of Fuzzy System Applications
International Journal of Fuzzy System Applications Computer Science-Computer Science (all)
CiteScore
2.40
自引率
0.00%
发文量
65
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