改进模糊TOPSIS群决策法在应急设施选址中的应用

张长泽; 裴骁

doi:10.13568/j.cnki.651094.651316.2019.05.22.0002

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改进模糊TOPSIS群决策法在应急设施选址中的应用

更新时间：2026-01-19

- 改进模糊TOPSIS群决策法在应急设施选址中的应用
- Journal of Xinjiang University (Natural Science Edition in Chinese and English) Vol. 37, Issue 1, Pages: 109-117(2020)
- 作者机构：
  
  兰州交通大学交通运输学院
- 作者简介：
- 基金信息：
- DOI：10.13568/j.cnki.651094.651316.2019.05.22.0002
  CLC： X4;O159;O225
- Published：2020
- 稿件说明：
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[1]张长泽,裴骁.改进模糊TOPSIS群决策法在应急设施选址中的应用[J].新疆大学学报(自然科学版)(中英文),2020,37(01):109-117.
[1]张长泽,裴骁.改进模糊TOPSIS群决策法在应急设施选址中的应用[J].新疆大学学报(自然科学版)(中英文),2020,37(01):109-117. DOI： 10.13568/j.cnki.651094.651316.2019.05.22.0002.

DOI：10.13568/j.cnki.651094.651316.2019.05.22.0002.

摘要

为确保在应急救援设施选址群决策问题中决策的合理性

充分考虑灾后不确定因素和环境的模糊性以及针对评价值为混合型的多属性群决策问题

引入模糊集理论

将改进的逼近理想解排序法(TOPSIS)扩展到模糊环境问题

提出一种基于模糊TOPSIS的应急救援设施选址群决策的方法.由于在应急多属性决策问题中

决策者的决策数据经常会出现不确定性

因此精确的数值不足以来模拟现实生活中的情况.在此情况下

该算法采用三角模糊数、语言变量等来进行评价决策

并运用组合赋权法来计算各评价指标和各决策者的综合权重.最后

通过具体的算例来验证该方法的可行性和有效性

并进行灵敏度分析.结果表明

所提出的方法符合实际决策机制.

Abstract

In order to ensure the rationality of decision in the decision-making problem of emergency rescue facilities

fully considered the uncertainty of the post-disaster uncertainties

the ambiguity of the environment and the multi-attribute group decision-making problem for the evaluation value

the fuzzy set theory is introduced.Improved TOPSIS extended to fuzzy environment

and proposed a method based on fuzzy TOPSIS for emergency rescue facility location group decision. Because in the emergency multi-attribute decision-making problem

the decision-making data of decision makers often appear fuzzy

so the accurate numerical value is insufficient to simulate the situation in real life.In this case

the algorithm uses triangular fuzzy numbers

linguistic variables to make evaluation decisions

and uses the general weights method to calculate the comprehensive weights of each evaluation attribute and each decision maker.Finally

the feasibility and effectiveness of the proposed method are veri?ed by a speci?c example

and the sensitivity analysis is carried out. The result shows that the proposed method conforms to actual decision-making mechanism.

关键词

Keywords

references

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