Can Entropy Weight Method Correctly Reflect the Distinction of Water Quality Indices?

Bao, Qing; Zhu, Yongqiang; Wang, Yuxiao; Feng, Yujie

doi:10.1007/s11269-020-02641-1

Cited by 35 publications

(7 citation statements)

References 16 publications

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“…However, as a type of objective weighting method, the entropy weight method only considers the difference in the criteria value, which may be improper and deviate from the actual in some cases and must be used with subjective weighting method [22]. Therefore, the subjective weighting method, namely, fuzzy BWM, was also employed to determine the weights of the criteria for the comprehensive benefit evaluation of a power grid investment in this paper.…”

Section: The Entropy Weight Methods and Fuzzy Bwm For The Weight Dete...mentioning

confidence: 99%

Comprehensive Benefit Evaluation of Power Grid Investment Considering Renewable Energy Development from the Perspective of Sustainability

Tian¹,

Zhao²,

Guo

2023

Sustainability

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To cope with the rapid development of renewable energy, the power grid system needs to invest in and construct transmission and distribution projects. Means of evaluating the economic, social, and environmental benefits generated by power grid investment are of great significance for enterprise cost recovery and government policy formulation. In this paper, an evaluation of the comprehensive benefit of a power grid investment considering renewable energy development from the perspective of sustainability is developed through the use of a hybrid multi-criteria decision-making (MCDM) method. The entropy weight method and fuzzy best worst method (BWM) are jointly employed to weight the comprehensive benefit criteria, which include economic, social, and environmental criteria and eight sub-criteria, and the measurement of alternatives and ranking according to compromise solution (MARCOS) method is utilized to evaluate the comprehensive benefit of a power grid investment. Five power grid investment projects for connecting renewable energy generation to a power grid in Ningxia, China, are selected as a case study, and the results indicate that the power grid investment project PGIP#1 has the largest comprehensive benefit (0.7099), followed by PGIP#3 (0.6800), PGIP#2 (0.6709), PGIP#5 (0.5959), and PGIP#4 (0.5861). The sensitivity analysis shows that the comprehensive benefit of PGIP#1 is always the best, indicating the robustness of the proposed method. By employing the proposed MCDM method to assess the comprehensive benefit of power grid investment projects, this research identifies outstanding projects which can provide guidance for the management of power grid investment and promote the sustainable development of the power industry.

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Section: The Entropy Weight Methods and Fuzzy Bwm For The Weight Dete...mentioning

confidence: 99%

Comprehensive Benefit Evaluation of Power Grid Investment Considering Renewable Energy Development from the Perspective of Sustainability

Tian¹,

Zhao²,

Guo

2023

Sustainability

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“…In this study, we employed EWM to objectively assign weights to various oil spill source indicators, as they contained a substantial amount of information. The steps involved in the process were as follows, as described by Lu et al (2017) and Bao et al (2020): Data standardization for matrix A [(Equation 5)]:…”

Section: Weight Determinationmentioning

confidence: 99%

Vulnerability assessment of the fishery system in China’s coastal provinces since 2000

Wang,

Du,

Wang

et al. 2023

Front. Mar. Sci.

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Coastal fishery systems are vital for both the environment and the economy, and at present, they face heightened vulnerability due to global climate change and natural disasters. A clearer understanding of the challenges that the system presents can be obtained by examining the vulnerabilities of fishery systems. This study employed a vulnerability scoping diagram framework and a multi-indicator approach combined with the entropy weight method for assigning weights to systematically evaluate the vulnerabilities of fishery systems in China’s coastal provinces. The spatiotemporal variation characteristics of vulnerability were analyzed and characterized, and the primary obstacles that affect vulnerability are discussed. The findings suggest that China’s coastal provinces’ fishery systems display vulnerability in terms of both time and space. From a temporal perspective, Liaoning, Hebei, and Shandong provinces exhibited an increasing trend in vulnerability, while Tianjin, Jiangsu, Zhejiang, Shanghai, Fujian, Guangdong, Guangxi, and Hainan showed decreasing trends. From a spatial perspective, Hainan and Liaoning’s fishery systems exhibited extremely high vulnerability in most years. In contrast, Tianjin consistently experienced extremely low vulnerability in most years. From the perspective of obstacles, the main factor was the funding for the extension of aquaculture technology, and this remained the primary obstacle factor across all years. The findings are significant for enhancing our understanding of vulnerability in fishery systems and for strengthening disaster prevention and mitigation measures. The results provide robust support for the improvement of management and the protection of fishery systems.

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“…(Gorgij et al, 2017). If the data of a certain water quality indicator are abnormal, it may eventually lead to the distortion of evaluation results (Bao et al, 2020). Whereas if a single subjective weighting method is used, the weight assignment could not be uniform due to the difference in subjective experience of the experts (Entani & Sugihara, 2012).…”

Section: Introductionmentioning

confidence: 99%

Construction and application of a composite model for acid mine drainage quality evaluation based on analytic hierarchy process, factor analysis and fuzzy comprehensive evaluation: Guizhou Province, China, as a case

Han,

Li,

Yang

et al. 2024

Water Environment Research

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The process of mining activities often causes the formation of acid mine drainage (AMD). Through rock fractures and underground rivers, AMD can easily enter the groundwater environment near mines and cause serious pollution to water quality. In order to effectively evaluate the quality of polluted mine water and to understand its threat to the ecosystem around the mine. In this study, four AMD pollution distribution areas, Guiyang City, Bijie City, Qianxinan Prefecture, and Qiandongnan Prefecture in Guizhou Province, were used as the study area. A composite model for mine water quality evaluation was constructed using factor analysis (FA), analytic hierarchy process (AHP), and fuzzy comprehensive evaluation (FCE). Furthermore, by introducing the weighted average method and the level characteristic value (J), the water quality type and the water body environmental quality were evaluated comprehensively, respectively. Compared with the traditional evaluation model, the AHP‐FA‐FCE model has obvious advantages in the selection of evaluation indicators, the determination of indicator weights, and the comprehensive evaluation of water quality types, and the evaluation results obtained are more reasonable and accurate. Three common factors mainly controlled by mineral oxidation factor, human activity factor, and mineral dissolution factor were extracted by dimension reduction of the original hydrochemical data by FA. The water quality of the mine water samples was evaluated using SO42−, Fe, Al, Mn, Na, and F− as evaluation indicators, and the results showed that the mine water samples in the study area as a whole were dominated by class V water, which accounted for 77.78% of the total. Based on the statistical analysis of the original data, it was found that influenced by the water–rock interactions in the study area and the AMD pollution components, the hydrochemical type of the mine water is mainly SO42−‐Ca‐Mg type. The water body environmental quality of mine water in four areas, Guiyang City, Qianxinan Prefecture, Bijie City, and Qiandongnan Prefecture, is from excellent to poor. The average level characteristic value of all the areas is more than 3, and the overall environmental quality of the water body is poor. The strong water–rock interaction and mining activities in the study area may be the main cause of AMD pollution. The results of this study may provide some theoretical reference for the water quality evaluation of AMD‐polluted areas.Practitioner Points A composite model for mine water quality evaluation was constructed. A factor analysis‐based evaluation indicator selection method is proposed. This study improved the weighting process of the traditional fuzzy comprehensive evaluation. A water quality discriminant based on the weighted average method is proposed. The water environmental quality of various types of mine water was evaluated.

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Can Entropy Weight Method Correctly Reflect the Distinction of Water Quality Indices?

Cited by 35 publications

References 16 publications

Comprehensive Benefit Evaluation of Power Grid Investment Considering Renewable Energy Development from the Perspective of Sustainability

Comprehensive Benefit Evaluation of Power Grid Investment Considering Renewable Energy Development from the Perspective of Sustainability

Vulnerability assessment of the fishery system in China’s coastal provinces since 2000

Construction and application of a composite model for acid mine drainage quality evaluation based on analytic hierarchy process, factor analysis and fuzzy comprehensive evaluation: Guizhou Province, China, as a case

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