A Novel Coordinated TOPSIS Based on Coefficient of Variation

Chen, Pengyu

doi:10.3390/math7070614

Cited by 38 publications

(17 citation statements)

References 26 publications

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“…Although this scoring mechanism is a certain objective and realistic subjective judgment for the evaluation, it has human subjective factors and is relatively suitable for qualitative indexes. For quantitative indexes, CV is another statistic that can objectively reflect the change of indicator value and measure the variation degree of each observation value in the data 27 , 29 . It can be used to calculate the influence degree of each factor and the objective weight.…”

Section: Discussionmentioning

confidence: 99%

Evaluating water-yield property of karst aquifer based on the AHP and CV

Ding

Zeng

2022

Sci Rep

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In order to ensure the safety of mine production, it is of great practical significance to make a reasonable evaluation of the water-yield property (WYP) of a karst aquifer. In this paper, we selected fault-lines distribution, fault-scale index, aquifer thickness, water pressure, consumption of rinsing liquid, and hydraulic conductivity as the evaluation indexes to analyze the WYP of a karst aquifer. Meanwhile, the analytic hierarchy process (AHP) is used to calculate the subjective weight of indexes, and the coefficient of variation (CV) is used to calculate the objective weight of indexes. Combined with GIS, a multi-factor composite superposition is carried out to evaluate the WYP of a karst aquifer. The reliability of the research results is verified by the specific yield. Besides, for improving the reliability of evaluation results, the chemical composition of karst water was discussed. The results show that the selection of indexes is reasonable and the AHP–CV method is effective to evaluate the WYP of a karst aquifer. Therefore, on the premise of reasonable index selection, the evaluation models of AHP and CV can be used to evaluate the WYP of a karst aquifer and provide reference for coal mine water control measures.

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Section: Discussionmentioning

confidence: 99%

Evaluating water-yield property of karst aquifer based on the AHP and CV

Ding

Zeng

2022

Sci Rep

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show abstract

“…Although this scoring mechanism is a certain objective and realistic subjective judgment for the evaluation, it has human subjective factors and is relatively suitable for qualitative indexes. For quantitative indexes, CV is another statistic that can objectively reflect the change of indicator value and measure the variation degree of each observation value in the data (Chen et al 2019;Chen 2019). It can be used to calculate the influence degree of each factor and the objective weight.…”

Section: Discussionmentioning

confidence: 99%

Evaluating Water-Yield Property of Karst Aquifer Based On The AHP And CV

Ding

Zeng

2021

Preprint

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In order to ensure the safety of mine production, it is of great practical significance to make a reasonable evaluation of the water-yield property (WYP) of a karst aquifer. In this paper, we selected fault-lines distribution, fault-scale index, aquifer thickness, water pressure, consumption of rinsing liquid, and hydraulic conductivity as the evaluation indexes to analyze the WYP of a karst aquifer. Meanwhile, the analytic hierarchy process (AHP) is used to calculate the subjective weight of indexes, and the coefficient of variation (CV) is used to calculate the objective weight of indexes. Combined with GIS, a multi-factor composite superposition is carried out to evaluate the WYP of a karst aquifer. The reliability of the research results is verified by the specific yield. Besides, for improving the reliability of evaluation results, the chemical composition of karst water was discussed. The results show that the selection of indexes is reasonable and the AHP-CV method is effective to evaluate the WYP of a karst aquifer. Therefore, on the premise of reasonable index selection, the evaluation models of AHP and CV can be used to evaluate the WYP of a karst aquifer and provide reference for coal mine water control measures.

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“…One is the subjective weight method that the index weights are given through the experience of decision makers, such as AHP, FAHP, and Delphi [18][19][20]. e other is the objective weighting method that the index weights are determined by the amount of index information in the evaluation, such as the entropy method, DDP, and variation coefficient method [21][22][23]. However, both the subjective weight method and the objective weight method are difficult to fully reflect the importance of the index in the actual analysis process.…”

Section: Index Weight Calculationmentioning

confidence: 99%

“…e TOPSIS is selected because of simple principle, easy understanding, and strong capacity to integrate other methods [23]. It can well reflect the position distance between the alternative scheme and the positive and negative ideal scheme.…”

Section: Decision Value Calculationmentioning

confidence: 99%

Evaluation Model of Highway Reconstruction and Expansion Scheme Based on Multiple Attribute Decision Making

Pan

Jia

et al. 2022

Advances in Civil Engineering

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The renovation and expansion of highway is a technical, comprehensive, and complex work, and the determination of its optimal scheme requires the consideration of multiple factors. In the process of highway construction, road engineers attempt to select an optimal scheme with the aim of saving cost, reducing construction difficulties, and protecting environment. It is difficult to assess because of the large number of attribute indices and the diversity of data distribution. In order to scientifically evaluate the comprehensive benefits of highway reconstruction and extension (HRE) schemes, an evaluation model of HRE scheme based on multiple attribute decision making (MADM) was established. This paper constructed the evaluation index system of HRE based on the four aspects of technology, economy, environmental impact, and landscape. This paper has made two major improvements. First, a method was proposed to determine the weight of evaluation index by coupling fuzzy analytic hierarchy process (FAHP) with difference driven principle (DDP). Then, technique for order preference by similarity to an ideal solution (TOPSIS) method was optimized by grey relational analysis (GRA) method. Finally, the MADA evaluation model is utilized to analyze the ranking of optimal scheme selection problem by relative closeness as a decision index. The results showed that the subjective intention of decision makers was considered and also fully the objective information of data itself was fully mined. The optimal scheme was scheme 3 through the analysis of five HRE schemes. This model highlighted the differences among the schemes and also avoided the problem of excessive differences. The results were consistent with the actual situation, verifying the feasibility and practicability of the model.

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A Novel Coordinated TOPSIS Based on Coefficient of Variation

Cited by 38 publications

References 26 publications

Evaluating water-yield property of karst aquifer based on the AHP and CV

Evaluating water-yield property of karst aquifer based on the AHP and CV

Evaluating Water-Yield Property of Karst Aquifer Based On The AHP And CV

Evaluation Model of Highway Reconstruction and Expansion Scheme Based on Multiple Attribute Decision Making

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