Measurement of Scenic Spots Sustainable Capacity Based on PCA-Entropy TOPSIS: A Case Study from 30 Provinces, China

Liang, Xuedong; Liu, Canmian; Li, Zhi

doi:10.3390/ijerph15010010

Cited by 17 publications

(8 citation statements)

References 23 publications

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“…To prevent the occurrence of zero values from affecting the weight, some researchers use the translation method to process the observation data [ 28 , 29 , 30 ]:

where

is the translation value, which is usually set to 1 [ 29 , 30 ];

is the value after translation.…”

Section: Resultsmentioning

confidence: 99%

On the Diversity-Based Weighting Method for Risk Assessment and Decision-Making about Natural Hazards

Chen

2019

Entropy

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The entropy-weighting method (EWM) and variation coefficient method (VCM) are two typical diversity-based weighting methods, which are widely used in risk assessment and decision-making for natural hazards. However, for the attributes with a specific range of values (RV), the weights calculated by EWM and VCM (abbreviated as WE and WV) may be irrational. To solve this problem, a new indicator representing the dipartite degree is proposed, which is called the coefficient of dipartite degree (CDD), and the corresponding weighting method is called the dipartite coefficient method (DCM). Firstly, based on a large amount of statistical data, a comparison between the EWM and VCM is carried out. It is found that there is a strong correlation between the weights calculated by the EWM and VCM (abbreviated as WE and WV); however, in some cases the difference between WE and WV is big. Especially when the diversity of attributes is high, WE may be much larger than WV. Then, a comparison of the DCM, EWM and VCM is carried out based on two case studies. The results indicate that DCM is preferred for determining the weights of the attributes with a specific RV, and if the values of attributes are large enough, the EWM and VCM are both available. The EWM is more suitable for distinguishing the alternatives, but prudence is required when the diversity of an attribute is high. Finally, the applications of the diversity-based weighting method in natural hazards are discussed.

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“…To prevent the occurrence of zero values from affecting the weight, some researchers use the translation method to process the observation data [ 28 , 29 , 30 ]:

where

is the translation value, which is usually set to 1 [ 29 , 30 ];

is the value after translation.…”

Section: Resultsmentioning

confidence: 99%

On the Diversity-Based Weighting Method for Risk Assessment and Decision-Making about Natural Hazards

Chen

2019

Entropy

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“…There are many different approaches and tools for assessing agricultural sustainability. At present, the methods widely used are sociological and economic methods, including national economic accounting [6], human development index [7], ecological methods, including synthetic index of energy sustainable development [8], material streaming, ecological footprint, TOPSIS [9]. Based on different theories, some scholars built evaluation systems and adopted entropy weight method, analytic hierarchy process or factor analysis [10] to assign weights and evaluate each index.…”

Section: Literature Reviewmentioning

confidence: 99%

Assessment and Prediction for China’s Regional Agricultural Sustainability

2021

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This paper proposes a sustainable agricultural development index (SADI) and a hybrid grey model for measuring the changes in agricultural sustainability over time. Firstly, a comprehensive indicator system for co-evaluating the level of agricultural economy, resource, environment, ecology, technology and rural society is presented based on a holistic understanding of agricultural sustainability. Then, the entropy-based TOPSIS model, grey prediction theory and genetic algorithm are combined to build a synthesis method for evaluating and predicting agricultural sustainability and detecting its regional heterogeneity. Furthermore, an empirical study at a provincial scale is conducted by collecting panel data from 2003 to 2017. The result shows that regional agricultural sustainability in China will continue to improve, with different rates in the different provinces from 2020 to 2030. And the regional heterogeneity of agricultural sustainability will increase significantly.

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“…Subjective weights include analytic hierarchy process [15] and so on. Objective weights include entropy weight method [16], variation coefficient method [17], principal component analysis method [18], etc. Combined weights combine subjective and objective weights with certain rules to seek more reasonable weights distribution.…”

Section: Combined Weightsmentioning

confidence: 99%

Health Status Evaluation of Catenary Based on Normal Fuzzy Matter-Element and Game Theory

Zhao

et al. 2020

J. Electr. Eng. Technol.

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At present, there is no unified standard for the health status evaluation of electrified railway catenary in China. The current catenary evaluation model only considers quantitative detection indicators, without qualitative indicators such as weather, which is one-sided to some extent. Thus, an improved catenary status evaluation model is constructed with both quantitative indicators and qualitative indicators. In this evaluation model, the normal fuzzy matter-element method is used to determine the correlation value of each grade, and the weighted average principle is used to re-determine the status grade of catenary when the maximum correlation principle fails. Meanwhile, entropy weight method and particle swarm optimization algorithm to optimize analytic hierarchy process method are combined to improve the shortcomings of single weight method, and game theory is used to determine the subjective and objective weight coefficients, so as to reduce the influence of subjective experience. Select a Chinese railway catenary in 2018 as an example for verification analysis, the results show that the model constructed in this paper can effectively help professionals to make correct judgments on the health status of catenary, and provide a new idea and method for the comprehensive evaluation of the catenary operation status, which has certain practicability.

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Measurement of Scenic Spots Sustainable Capacity Based on PCA-Entropy TOPSIS: A Case Study from 30 Provinces, China

Cited by 17 publications

References 23 publications

On the Diversity-Based Weighting Method for Risk Assessment and Decision-Making about Natural Hazards

On the Diversity-Based Weighting Method for Risk Assessment and Decision-Making about Natural Hazards

Assessment and Prediction for China’s Regional Agricultural Sustainability

Health Status Evaluation of Catenary Based on Normal Fuzzy Matter-Element and Game Theory

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