scholarly journals A Computational Model Based on Shannon Entropy to Analyze Social Development in South America

2019 ◽  
Vol 8 (11) ◽  
pp. 2515-2522
Keyword(s):  
South America ◽  
Social Development ◽  
Evaluation Criteria ◽  
South American ◽  
Entropy Weight ◽  
The Social ◽  
Qualitative Variables ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Using Data

In the world, the level of social development of a country is an important factor since it guarantees the improvement of the quality of life in its population. In this study, we evaluated social development using quantitative and qualitative variables to measure the level of development of South American countries. The entropic-weight method, from Shannon's entropy theory, was applied for the purpose of obtaining a classification showing the social development level in the countries on the list. To calculate the weight of the criteria, the entropy-weight method was applied, followed by the classification of the countries studied in concordance with a weighted sum. In this work, thirteen criteria and ten countries were studied, using data from the year 2016. The results showed that the two best ranked countries were Chile and Uruguay, and the two worst ranked countries were Venezuela and Colombia. In addition, an informative map of social development in the mentioned countries, which varies in a scale of colors, was presented. As a result, the method used in the present article revealed interesting results and it could be used on other social studies considering additional evaluation criteria. The results of this work could serve to governments of South America countries to make the best decision on social problems.

scholarly journals Information Content Measurement of ESG Factors via Entropy and Its Impact on Society and Security

Information ◽  
2021 ◽  
Vol 12 (10) ◽  
pp. 391
Author(s):  
Hossein Hassani ◽  
Stephan Unger ◽  
Mohammad Reza Entezarian
Keyword(s):  
Information Content ◽  
Information Gain ◽  
Entropy Weight ◽  
Noisy Information ◽  
Entropy Information ◽  
The Social ◽  
Entropy Weight Method ◽  
Weight Method ◽  
The Difference ◽  
The Impact

We conducted a singular and sectoral vulnerability assessment of ESG factors of Dow-30-listed companies by applying the entropy weight method and analyzing each ESG factor’s information contribution to the overall ESG disclosure score. By reducing information entropy information, weaknesses in the structure of a socio-technological system can be identified and improved. The relative information gain of each indicator improves proportionally to the reduction in entropy. The social pillar contains the most crucial information, followed by the environmental and governance pillars, relative to each other. The difference between the social and economic pillars was found to be statistically not significant, while the differences between the social pillar, respective to the economic and governance pillars were statistically significant. This suggests noisy information content of the governance pillar, indicating improvement potential in governance messaging. Moreover, we found that companies with lean and flexible governance structures are more likely to convey information content better. We also discuss the impact of ESG measures on society and security.

A new cross-efficiency ranking method in group decision making environment

2021 ◽  
pp. 1-13
Author(s):  
Meiqin Wu ◽  
Xiaoqing Hou ◽  
Jianping Fan
Keyword(s):  
Decision Making ◽  
Evaluation Criteria ◽  
Extended Model ◽  
Entropy Weight ◽  
Optimal Weights ◽  
Relative Evaluation ◽  
Entropy Weight Method ◽  
Efficiency Ranking ◽  
Weight Method ◽  
Decision Making Units

As an extended model of data envelopment analysis (DEA), cross-efficiency is utilized in various fields. It applies the relative evaluation values of homogeneous decision-making units (DMUs) in ranking completely. Due to the non-uniqueness of DEA optimal weights, and the cross-efficiency methods focus on the aggregation of cross-efficiency matrix values. There is a low correction between the final efficiency evaluation value and the value assigned to the criteria weight or the value of the criteria. This paper uses the modified aggressive cross-efficiency model to calculate the weights of the decision-making units (DMUs). Then according to the consistency of peer-evaluation criteria, the entropy weight method is used to aggregate the index weights to generate a set of common weights, and a new Measurement of Alternatives and Ranking according to Compromise Solution (MARCOS) method is used to calculate the utility score of DMUs that can rank them completely. Finally, a numerical case of supplier selection is offered to illustrate the feasibility and effectiveness of the proposed method.

scholarly journals Evaluation of Vehicle Handling Stability Based on Interval TOPSIS and Entropy Weights

2021 ◽  
Vol 2095 (1) ◽  
pp. 012055
Author(s):  
Xincheng Huang
Keyword(s):  
Evaluation Criteria ◽  
Topsis Method ◽  
Entropy Weight ◽  
Interval Numbers ◽  
Vehicle Handling ◽  
Relative Closeness ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Interval Weight ◽  
Ranking Index

Abstract The purpose of this study is to evaluate the handling stability of vehicle from the perspective of users using a multi-criteria decision-making approach with interval numbers. In order to achieve this purpose, the evaluation criteria easy for drivers to understand were constructed based on questionnaire, the interval weights of the criteria were calculated using the entropy weight method with interval numbers, and the interval TOPSIS method was used to evaluate the vehicle handling stability. As the improvement of the method, a new method to determine the crisp value of the interval weight was given, and the relative closeness index used for ranking alternatives was extended to a new additive ranking index. The proposed method was used to evaluate the handling stability of 12 vehicles, and the results may provide some basis for vehicle R & D and design.

A fire risk assessment method based on the combination of quantified safety checklist and structure entropy weight for shopping malls

2021 ◽  
pp. 1748006X2098737
Author(s):  
Quanle Zou ◽  
Tiancheng Zhang ◽  
Wei Liu
Keyword(s):  
Evaluation Method ◽  
Research Result ◽  
Fire Risk ◽  
Living Standard ◽  
Shopping Malls ◽  
Entropy Weight ◽  
Essential Components ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Laws And Regulations

In recent years, various large- and medium-sized shopping malls have been essential components of each city with the speed-up of China’s urbanization process and the improvement of residents’ living standard. A method for evaluating fire risk in shopping malls based on quantified safety checklist and structure entropy weight method was proposed according to related literatures as well as laws and regulations by analyzing the characteristics of fires occurring in shopping malls in recent years. At first, the factors influencing the fire risk in shopping malls were determined by carrying out on-site survey and visiting related organizations to construct an evaluation index system for fires occurring in shopping malls; afterwards, a quantified safety checklist composed of four parts (i.e. safety grade, grade description, scoring criterion and index quantification) was established based on related laws and regulations; subsequently, index weights were determined by utilizing structure entropy weight method, thus putting forward a method for assessing fire risk in shopping malls based on quantified safety checklist and structure entropy weight method. Eventually, the applicability of the evaluation method was validated exampled by Wal-Mart. The research result provides a theoretical basis for further improvement of the theoretical system for fire risk evaluation in shopping malls, and also exerts practical and guidance significance on timeous and effective early warning as well as prevention and control of building fires.

Research on Degree Evaluation of Rural Waste Recycling of Heilongjiang Province Based on the Integrated Evaluation Method

2011 ◽  
Vol 347-353 ◽  
pp. 1735-1739
Author(s):  
Jie Shang ◽  
Yuan Yao
Keyword(s):  
Index System ◽  
Agricultural Waste ◽  
Waste Recycling ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Heilongjiang Province ◽  
Entropy Weight ◽  
Development Direction ◽  
Entropy Weight Method ◽  
Weight Method

This paper has analyzed the degree of agricultural waste recycling utilization, and problems existing in current rural calculated degree of waste recycling in Heilongjiang province, using AHP and entropy weight method integrated and construct the rural waste recycling system, and points out that the evaluation index system of agricultural waste recycling after the development direction.,This paper has analyzed the degree of agricultural waste recycling utilization, and problems existing in current rural calculated degree of waste recycling in Heilongjiang province, using AHP and entropy weight method integrated and construct the rural waste recycling system, and points out that the evaluation index system of agricultural waste recycling after the development direction.

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