直觉模糊语言信息下的三维动态评价方法及应用
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重庆师范大学

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C931

基金项目:

国家自然科学基金青年项目(71901044);教育部人文社会科学研究青年基金项目(18YJC630009);重庆社科规划项目(2018QNGL28)。


A Three-dimensional Dynamic Method and Its Application under Intuitionistic Fuzzy Linguistic Information
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1.Chongqing Normal University;2.重庆师范大学

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    摘要:

    针对当前综合评价大多集中在静态评价以及属性权重未知的问题, 在直觉模糊语言环境下提出一种三维动态评价方法. 首先, 利用模糊 QFD 求解指标权重以弥补传统主客观确权方法的不足, 体现了指标越能表征顾客 需求贡献度, 权重越大的赋权思路? 其次, 考虑到评价指标间的相互关系也会影响最终的评价结果, 引入幂平均算子并将其扩展到直觉模糊语言集中, 通过直觉模糊语言幂加权平均算子集结多属性信息得到静态综合评价值? 然后, 在静态评价值求解的基础上, 基于全局信息定义分层激励因子和阶段信息定义成长因子分别对评价基础值的增长态势和增长趋势进行测度, 构建了基于评价基础值、变化状态与发展趋势的三维动态评价指数模型. 最后以小微企业的信用评价为例验证了所提方法的有效性和可行性.

    Abstract:

    Considering the shortcomings of static evaluation and the unknown attribute weights in the comprehensive evaluation method, a three-dimensional dynamic method is proposed in this paper under intuitionistic fuzzy linguistic information. Firstly, fuzzy QFD is used to solve the index weight, which can reflect the weighting idea that the more the index can represent the contribution degree of the customer’s demand, the greater the weight. Secondly, considering that the relationship among attributes will also affect the final evaluation results, the power average operator is introduced and extended to the intuitionistic fuzzy linguistic set. Based on intuitionistic fuzzy language power weighted average operator, the static comprehensive evaluation value is obtained. Then, the layered incentive factor and the growth factor are defined to measure the change state and the development trend respectively. Based on this, a three-dimensional evaluation index model considering the evaluation basic value, change state and development trend is established for dynamic information aggregation. Finally, take the credit evaluation of small and micro businesses as an example to verify the effectiveness and feasibility of the proposed method.

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历史
  • 收稿日期:2021-09-17
  • 最后修改日期:2022-01-11
  • 录用日期:2022-01-28
  • 在线发布日期: 2022-03-01
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