Using ranked weights and Shannon entropy to modify regional sustainable society index

Wu, Sisi; Fu, Yelin; Shen, Hai; Liu, Fan

doi:10.1016/j.scs.2018.05.052

Cited by 49 publications

(19 citation statements)

References 21 publications

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“…Statistical data in the literature [ 3 , 12 , 22 , 23 , 24 , 25 , 26 , 27 ] were adopted to calculate the attribute weights using the EWM or VCM, in order to compare the ability of the two methods to accurately determine weight. The referenced studies were selected based on the following principles: (1) the EWM or the VCM was used to calculate attribute weights; (2) raw data were provided.…”

Section: Resultsmentioning

confidence: 99%

“…Figure 2 illustrates the statistical relation between W E and W V . The two types of weights were calculated using the statistical data in Reference [ 3 , 12 , 22 , 23 , 24 , 25 , 26 , 27 ]. In this paper, exponential function, linear regression, logarithmic function and power function were adopted as fitting functions, and the one with the largest coefficient of determination R 2 was selected as the final fitting function.…”

Section: Resultsmentioning

confidence: 99%

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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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Section: Resultsmentioning

confidence: 99%

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 determination of the indicators' weights is also an important part of the rationality of city sustainability evaluation. The weighting method can be divided into three categories: subjective weighting method [29][30][31][32], objective weighting method [33][34][35][36] and combined weighting method [37][38][39]. The subjective weighting method, such as the Delphi method [40], analytic hierarchy process (AHP) method [41], etc., reflects the subjective judgment and intuition of the evaluator.…”

Section: Related Work On City Sustainability Evaluationmentioning

confidence: 99%

“…Yi et al develop the deviation maximization weighting method to observe the sustainable levels of 17 cities in Shandong Province, China [11]. Several studies on city sustainability evaluation can be found, and the related literature can be grouped into three categories, i.e., evaluation indicators selection [19][20][21][22][23][24][25][26][27][28], indicators' weights setting [29][30][31][32][33][34][35][36][37][38][39][40][41][42][43] and information aggregation [44][45][46][47][48][49][50][51][52]. A detailed review of the related work is shown in Section 2.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of City Sustainability from the Perspective of Behavioral Guidance

Zhou

et al. 2019

Sustainability

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High-quality evaluation of city sustainability is an important part of city policy making and development. In this paper, we evaluated the sustainability of the 14 cities in Liaoning, China, from 2015 to 2017. Based on the comprehensive consideration of the interactions among the social, economic and environmental systems, the traditional evaluation indicator system is refined. We incorporate the attitude of decision makers into the evaluation model and propose an objective weighting method by considering data distribution to objectively guide the cities to develop towards the established goals. The empirical research results show that cities located in eastern Liaoning performed the best and in western Liaoning performed the worst. The performances of the 14 cities in Liaoning were not perfect. Both the evaluation values and growth rates of 7 cities (accounting for 50.00%) were lower than the overall average level. The evaluation values of the three systems of the 14 cities were not balanced. The evaluation values of the social, economic and environmental systems fluctuated within the range of [0.0159, 0.0346], [0.0151, 0.0677] and [0.0123, 0.0483], respectively. The social and economic systems of most cities supplied more for the environmental system than for the other system. Cities with higher environmental base rankings offered less supply to other systems. At the same time, we also provide some individualized and concrete suggestions for the guidance of city sustainable development. By comparing the empirical data with the reality, it confirms the credibility of the method and the recommendations in this paper.

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“…Considering the ratings in the study are in the linguistic form, the intuitionistic fuzzy set is applied to model the linguistic ratings more comprehensively. In order to discriminate the experts and indicator, the entropy, which is proposed to measure the discriminatory power in decision making [ 40 , 41 , 42 , 43 , 44 , 45 ], is used. Entropy and intuitionistic fuzzy sets are reviewed briefly as follows [ 40 , 41 , 46 , 47 , 48 , 49 , 50 ].…”

Section: Entropy and Intuitionistic Fuzzy Setsmentioning

confidence: 99%

Evaluation of Sustainability Information Disclosure Based on Entropy

Wang

Liu

et al. 2018

Entropy

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Disclosure of sustainability information is important for stockholders and governments. In order to evaluate the quality of sustainability information disclosure in heavily polluting industries, the quality of the disclosure is proposed to be evaluated from completeness, adequacy, relevance, reliability, normativeness and clarity aspects. The corresponding evaluation indicator system is constructed. Due to the ambiguity and complexity of the evaluation information, the intuitionistic fuzzy sets are applied to model the linguistic ratings. Entropy is used to derive the weight of experts, the object weight and the subject weight of the indicators. which are integrated when dealing with the evaluation information. The quality of sustainability information disclosure of seven representative companies in heavily polluting industries is evaluated. The importance of indicators and ranking of the companies are derived. Based on the evaluation results, the discussion and suggestions are also provided.

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Using ranked weights and Shannon entropy to modify regional sustainable society index

Cited by 49 publications

References 21 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

Evaluation of City Sustainability from the Perspective of Behavioral Guidance

Evaluation of Sustainability Information Disclosure Based on Entropy

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