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基于组合赋权的可拓云模型评价方法

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针对评价过程中存在的不确定性和模糊随机性等问题,为获得相对客观全面的评价结果,设计一种优于单一评价方法的组合赋权和可拓云模型结合评价方法模型.为最大程度减少主观因素影响,采用三角模糊层次分析法和熵权法分别计算主客观指标权重,然后利用博弈论方法确定组合权重.最后采用基于物元可拓理论的可拓云计算评价方法,解决评价中存在的离散问题并通过实例验证该模型对评价问题的可行性.研究结果表明,基于组合赋权的可拓云模型在评价问题中的应用是有效的.
Evaluation Method of Topable Cloud Model Based on Combination Assignment
In view of the problems of uncertainty and fuzzy randomness in the evaluation process,in order to obtain relatively objective and comprehensive evaluation results,a model of combined evaluation method of combination assignment and topable cloud model is designed which is superior to the single evaluation method.In order to minimize the influence of subjective factors,the triangular fuzzy hierarchical analysis method and entropy weighting method are used to calculate the weights of subjective and objective indexes respectively,and then the game theory method is used to determine the combination weights.The topable cloud computing evaluation method based on the theory of object element topability is able to address the random factors in the evaluation and effectively solve the discrete problems in the evaluation.Thus,it increases the accuracy of the evaluation results and realizes the scientific and reasonable description of the uncertainty of the evaluation system through the mutual transformation of qualitative and quantitative in the evaluation process.Finally,the feasibility of the model for the evaluation problem is verified by examples.The research results show that the application of the combinatorial-assignment-based topological cloud model to the evaluation problem is effective.

combinatorial assignmenttopologizable cloud modelscloud similarityevaluation

陈湘瑜

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浙江万里学院物流与电子商务学院,浙江宁波 315100

组合赋权 可拓云模型 云相似度 评价

2024

科技和产业
中国技术经济学会

科技和产业

影响因子:0.361
ISSN:1671-1807
年,卷(期):2024.24(14)
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