Urbanization Attribute Evaluation for Prefabricated Substation Based on MCD-AHP

WANG Feng; LIU Bofeng; CHAI Shuying; WANG Danlu

doi:10.3969/j.issn.0258-2724.20200172

Volume 56 Issue 5

Oct. 2021

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Journal of Southwest Jiaotong University > 2021 > 56(5): 1020-1028.

WANG Feng, LIU Bofeng, CHAI Shuying, WANG Danlu. Urbanization Attribute Evaluation for Prefabricated Substation Based on MCD-AHP[J]. Journal of Southwest Jiaotong University, 2021, 56(5): 1020-1028. doi: 10.3969/j.issn.0258-2724.20200172

Citation:

WANG Feng, LIU Bofeng, CHAI Shuying, WANG Danlu. Urbanization Attribute Evaluation for Prefabricated Substation Based on MCD-AHP[J]. Journal of Southwest Jiaotong University, 2021, 56(5): 1020-1028. doi: 10.3969/j.issn.0258-2724.20200172

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Urbanization Attribute Evaluation for Prefabricated Substation Based on MCD-AHP

doi: 10.3969/j.issn.0258-2724.20200172

Received Date: 10 Apr 2020
Rev Recd Date: 20 Jul 2020

Available Online: 16 Sep 2020

Publish Date: 15 Oct 2021

Abstract

Abstract

In order to improve the urbanization attribute effect of the prefabricated substation construction for urban rail transits, it is necessary to make an accurate evaluation of its urbanization attribute index. First, an evaluation system of prefabricated substation urbanization attribute indexes is built, including economic attributes, social attributes, and energy-saving attributes, and a quantitative model of the evaluation indexes is presented. Then, the robust analysis method with the minimum covariance determinant (MCD) is used to detect the judgment matrix provided by the expert group in the analytic hierarchy process (AHP) and remove the outlier matrix due to the difference in subjective cognition among the members of the expert group. Finally, the improved MCD-AHP is used to calculate and evaluate the weights of the urbanization attribute indexes for the prefabricated substation. The results show that after removing the outlier matrix samples, the absolute value of the index weight difference calculated by the upper and lower limit matrices ranges from 0 to 0.0103, and the the relative change ratio is from 0 to 9.31%, which is significantly better than the corresponding ranges of 0.0138−0.1355 and 15.99%−106.23% under the full sample state. This method can effectively improve the logical consistency of the judgment matrix and the aggregation of weight values.
- prefabricated substation,
- urbanization attribute,
- robust analysis method,
- improved analytic hierarchy process,
- index evaluation

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