Grey Fuzzy Comprehensive Evaluation Model of Transformer State Based on Intuitionistic Fuzzy Analytic Hierarchy Process

WANG Hailiang; DENG Ling; HE Qi; XIANG Chuan; WANG Quan; FU Hao

doi:10.13296/j.1001-1609.hva.2020.09.032

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Grey Fuzzy Comprehensive Evaluation Model of Transformer State Based on Intuitionistic Fuzzy Analytic Hierarchy Process

更新时间：2025-04-26

- Grey Fuzzy Comprehensive Evaluation Model of Transformer State Based on Intuitionistic Fuzzy Analytic Hierarchy Process
- High VoltageApparatus Vol. 56, Issue 9, Pages: 216-222(2020)
- 作者机构：
  
  1. 国网湖北省电力有限公司宜昌供电公司
  2. 三峡大学电气与新能源学院
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2020.09.032
  CLC： TM41
- Published：2020
- 稿件说明：
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[1]王海亮,邓玲,何奇,项川,王泉,付豪.直觉模糊层次分析法下变压器状态的灰色模糊综合评判模型[J].高压电器,2020,56(09):216-222.

WANG Hailiang, DENG Ling, HE Qi, et al. Grey Fuzzy Comprehensive Evaluation Model of Transformer State Based on Intuitionistic Fuzzy Analytic Hierarchy Process[J]. High voltageapparatus, 2020, 56(9): 216-222.
[1]王海亮,邓玲,何奇,项川,王泉,付豪.直觉模糊层次分析法下变压器状态的灰色模糊综合评判模型[J].高压电器,2020,56(09):216-222. DOI： 10.13296/j.1001-1609.hva.2020.09.032.

WANG Hailiang, DENG Ling, HE Qi, et al. Grey Fuzzy Comprehensive Evaluation Model of Transformer State Based on Intuitionistic Fuzzy Analytic Hierarchy Process[J]. High voltageapparatus, 2020, 56(9): 216-222. DOI： 10.13296/j.1001-1609.hva.2020.09.032.

摘要

变电设备的状态评估是实行其状态检修工作的基础。针对变压器状态评估中指标信息具有灰色模糊、随机性特点

结合直觉模糊集和云理论提出一种变压器状态的灰色模糊综合评判模型。该模型首先引进直觉模糊层次分析法和模糊熵概念来更为精确地确定评判指标权重集

同时利用正向高斯云算法求得评估指标对应各等级的关联度并作为评判集的模部

再结合专家经验及信息充裕程度以点灰度表征模部信息的可信度

进而建立起灰色模糊评判矩阵并进行综合评估。最后通过实例分析及与其它方法的比较

验证了所提模型的可行性和有效性。

Abstract

The condition evaluation of electric power equipment is the foundation to carry out the condition maintenance work.In view of the characteristics of grey fuzzy and randomness of index information in transformer state evaluation

a grey fuzzy comprehensive model is proposed by combining intuitionistic fuzzy sets and cloud theory.This model firstly uses intuitionistic fuzzy analytic hierarchy process and the concepts of fuzzy entropy to determine accurately the weight set of evaluation indexes.Next

the correlation degree of the state level obtained by cloud theory is used as the module of the evaluation factor set.Then the grey part of factor set is determined by combining expert experiences and information adequacy to represent the uncertainty of the information

and this model builds grey fuzzy evaluation matrix to deal with the result.Lastly

the feasibility and validity of the proposed model are verified by example analysis and comparison with other methods.

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