scholarly journals Development of a Sustainability Assessment Algorithm and Its Validation Using Case Studies on Cryogenic Machining

2020 ◽  
Vol 4 (2) ◽  
pp. 42 ◽  
Author(s):  
Prathamesh Bhat ◽  
Chetan Agrawal ◽  
Navneet Khanna
Keyword(s):  
Case Studies ◽  
Sustainability Assessment ◽  
Decision Makers ◽  
Machining Processes ◽  
Entropy Weight ◽  
Proposed Model ◽  
Order Preference ◽  
Entropy Weight Method ◽  
Weight Method ◽  
The Impact

This work presents a comprehensive structure for evaluating the sustainability of machining processes. Industries can contribute towards developing a sustainable future by using algorithms that evaluate the sustainability of their processes. Inspired by the literature, the proposed model involves a set of metrics that are critical in evaluating the impact of a process on society, environment, and economy. The flexibility of this model allows decision-makers to use the available responses to identify the most favorable process. The entropy weight method was suggested for objectively calculating the weights of each indicator. A multi-criteria decision-making method i.e., Technique for Order Preference based on Similarity to Ideal Solution (TOPSIS), was used to rank processes in the decreasing order of their sustainability. The proposed algorithm was successfully validated with case studies from the published literature. A MATLAB code was also created so that industries may expeditiously apply this method to evaluate the sustainability of machining processes.

scholarly journals The influence of digital economy on the upgrading of industrial structure

2021 ◽  
Vol 275 ◽  
pp. 01047
Author(s):  
Siyu Liu
Keyword(s):  
Industrial Structure ◽  
Empirical Test ◽  
Digital Economy ◽  
Practical Significance ◽  
Entropy Weight ◽  
High Quality ◽  
Starting Point ◽  
Entropy Weight Method ◽  
Weight Method ◽  
The Impact

Digital economy is an important starting point for China’s high-quality economic development, which may have an impact on the level of industrial structure. This paper calculates the development level of digital economy by entropy weight method, selects the relevant data of 31 provinces and cities in China from 2012 to 2019, and uses the method of empirical test to analyze the impact of the development of digital economy on the upgrading of China’s industrial structure. The result shows that the development of digital economy can promote the upgrading of China’s overall industrial structure, which is significant at the level of 1%. Further research shows that the development of digital economy has regional heterogeneity on the upgrading of industrial structure in the eastern, central and western regions of China. The research of this paper has important practical significance for the high-quality development of China’s economy.

scholarly journals Analysis of Driving Control Characteristics in Typical Road Types

2022 ◽  
Vol 14 (2) ◽  
pp. 782
Author(s):  
Baicang Guo ◽  
Qiang Hua ◽  
Lisheng Jin ◽  
Xianyi Xie ◽  
Zhen Huo ◽  
...  
Keyword(s):  
Control Variable ◽  
Entropy Weight ◽  
Characteristic Index ◽  
Test Taking ◽  
Box Plots ◽  
Significant Difference ◽  
Road Geometry ◽  
Order Preference ◽  
Entropy Weight Method ◽  
Weight Method

Vehicle control requirements for longitudinal and lateral driver control are varied in different road geometries; this makes it irrational and superfluous to represent driving control characteristics with repetitive indices. To address this problem, the present study used multiple cross-analysis methods of vehicle running state parameters from experienced drivers in order to deeply study driving control characteristics in different road geometries. Six common road geometries with different driving control emphases were selected as typical road types and twenty-five experienced drivers were asked to perform an actual driving test. Taking the indices in the long straight road as the control variable, the indices in other roads were compared with it and judged according to the three methods: the overall distribution by box plots, significant difference test by analysis of variance (ANOVA) and relative distance calculation by technique for order preference by similarity to an ideal solution (TOPSIS). Moreover, the weight of the driving control characteristic index was calculated through the entropy weight method to reflect its importance. In this paper, the relationships between road geometry and driving control characteristics explicate the influence mechanism and interaction of road geometry on driving behavior, and the indicators that can reflect the control characteristics in different road types are obtained.

scholarly journals A Method of Determining Multi-Attribute Weights Based on Single-Valued Neutrosophic Numbers and Its Application in TODIM

Symmetry ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 506 ◽  
Author(s):  
Dongsheng Xu ◽  
Yanran Hong ◽  
Kaili Xiang
Keyword(s):  
Decision Making ◽  
Decision Makers ◽  
Entropy Weight ◽  
Attribute Weights ◽  
Attribute Weight ◽  
Decision Making Problem ◽  
Entropy Weight Method ◽  
Todim Method ◽  
Multi Attribute Decision Making ◽  
Weight Method

In this paper, the TODIM method is used to solve the multi-attribute decision-making problem with unknown attribute weight in venture capital, and the decision information is given in the form of single-valued neutrosophic numbers. In order to consider the objectivity and subjectivity of decision-making problems reasonably, the optimal weight is obtained by combining subjective weights and objective weights. Subjective weights are given directly by decision makers. Objective weights are obtained by establishing a weight optimization model with known decision information, then this method will compare with entropy weight method. These simulation results also validate the effectiveness and reasonableness of this proposed method.

scholarly journals Evaluation of Water Use Efficiency of 31 Provinces and Municipalities in China Using Multi-Level Entropy Weight Method Synthesized Indexes and Data Envelopment Analysis

2019 ◽  
Vol 11 (17) ◽  
pp. 4556 ◽  
Author(s):  
Boyang Sun ◽  
Xiaohua Yang ◽  
Yipeng Zhang ◽  
Xiaojuan Chen
Keyword(s):  
Data Envelopment Analysis ◽  
Water Use Efficiency ◽  
Water Use ◽  
Water Shortage ◽  
Data Envelopment ◽  
Entropy Weight ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Use Efficiency ◽  
The Impact

China’s water shortage problem is becoming increasingly severe. Improving water use efficiency is crucial to alleviating China’s water crisis. This paper evaluates the water use efficiency of 31 provinces and municipalities in China by using the data envelopment analysis (DEA) method. When the usual DEA model has too many indexes selected, it will cause the majority of the decision making units (DMUs) efficiency values be one, which leads to invalid evaluation results. Therefore, by using the entropy weight method, a new synthetic set of indexes is constructed based on the original indexes. The new synthetic set of indexes retains the full information of the original indexes, and the goal of simplifying the number of indexes is achieved. Simultaneously, by empowering the original indexes, the evaluation using synthetic indexes can also avoid the impact of industrial structure and labor division on water use efficiency. The results show that in China’s northeastern grain producing areas, water use efficiency is higher due to the high level of agricultural modernization. The provinces in the middle reaches of the Yangtze River have the lowest water use efficiency due to water pollution and water waste. In general, China’s overall water use efficiency is low, and there is still much room for improvement.

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.

scholarly journals An Evaluation Model for The Impact of Climate Change on Regional Instability

2018 ◽  
Vol 175 ◽  
pp. 04022
Author(s):  
Jia-Yi Lie ◽  
Hong-Yu Duan ◽  
Dong Chen
Keyword(s):  
Climate Change ◽  
Evaluation Model ◽  
Entropy Weight ◽  
Analytic Hierarchy ◽  
Climate Change Impact Assessment ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Change Impact ◽  
The Impact ◽  
Hierarchy Process

The complication that climate change brings about has been an important issue in recent decades. In this paper, we attempt to find the inner connection between climate change and regional instability, and finally build a novel evaluation model about it. By innovatively utilizing Analytic Hierarchy Process and Entropy Weight Method combined, our model can produce a reliable climate change impact assessment. Empirical results on states of different stability provide strong evidence that our model possesses high feasibility and accuracy in practical use.

scholarly journals Restoration Methods Selection for Wood Components of Chinese Ancient Architectures Based on TODIM with Single-Valued Neutrosophic Sets

2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Xiaolu. Long ◽  
Lizhi. Liu ◽  
Can. Xiao ◽  
Pengfei. Cheng ◽  
Chengxun. Fu
Keyword(s):  
Decision Making ◽  
Entropy Weight ◽  
Neutrosophic Sets ◽  
Wood Component ◽  
Proposed Model ◽  
Entropy Weight Method ◽  
Todim Method ◽  
Weight Method ◽  
Multicriteria Group Decision Making ◽  
Selection Of

The selection of restoration methods for ancient architectures is of great significance for the protection of human cultural heritage. This paper proposes a novel restoration methods selection approach for wood components of Chinese ancient architectures, in which a multicriteria group decision-making (MCGDM) method with decision-making information is in the form of single-valued neutrosophic sets (SNNSs). Firstly, it establishes an index system by comprehensively considering subjective and objective criteria. In addition, the best-worst method (BWM) and the entropy weight method are combined to produce index weights. Furthermore, the TODIM method is utilized by the single-valued neutrosophic sets to prioritize restoration methods. Finally, a specific case of wood component restoration is conducted to demonstrate the practicability of the proposed model. The robustness and effectiveness of the proposed method is verified by sensitivity analysis and comparison analysis.

scholarly journals Research on Water-Filled Source Identification Technology of Coal Seam Floor Based on Multiple Index Factors

Geofluids ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-9
Author(s):  
Xinyi Wang ◽  
Guang Yang ◽  
Qi Wang ◽  
Junzhi Wang ◽  
Bo Zhang ◽  
...  
Keyword(s):  
Coal Seam ◽  
Source Identification ◽  
Fuzzy Variable ◽  
Water Source ◽  
Impact Factors ◽  
Water Volume ◽  
Entropy Weight ◽  
Entropy Weight Method ◽  
Weight Method ◽  
The Impact

According to the No. 13 Mine of Pingdingshan Coal Co. Ltd., the fault dimension of the study area is calculated based on fractal theory. The four impact factors such as water inflow, water pressure, water inrush coefficient, and fault fractal dimension of 21 water boreholes are used as evaluation indices, and a mathematical model for identifying the water-filled source of the coal seam floor is established by coupling an entropy weight method and fuzzy variable set theory. The model is used to identify the water-filled source of 7 boreholes, which provide a reliable reference for the identification of the water-filled source. According to the calculation result of the entropy weight method, the water volume per unit of the borehole and the groundwater pressure have a significant impact on the water source identification, which accounts for 89.93% of the weight value. In the fuzzy variable set model, when the distance parameter p is 1 and the optimization criterion parameter α is 2, the accuracy of the water sample identification of the water source category to be identified is 85.71%, which is at a high recognition level. The more typical the impact factors selected and the more samples, the accuracy of water-filled source identification is much higher.

scholarly journals MULTI-CRITERIA DECISION MAKING FOR IDENTIFICATION OF UNBALANCED BIDDING

2019 ◽  
Vol 26 (1) ◽  
pp. 43-52 ◽  
Author(s):  
Limin Su ◽  
Tianze Wang ◽  
Huimin Li ◽  
Yongchao Chao ◽  
Lunyan Wang
Keyword(s):  
Decision Making ◽  
Construction Projects ◽  
Unit Price ◽  
Multi Criteria Decision Making ◽  
Vikor Method ◽  
Decision Matrix ◽  
Entropy Weight ◽  
Proposed Model ◽  
Entropy Weight Method ◽  
Weight Method

Unbalanced bidding is a serious problem in the competitive bidding practices of construction projects. Identification and prevention of unbalanced bidding is an important and complexity task for owners. This paper aims to propose an identification model of unbalanced bidding from multi-criteria decision making (MCDM) perspective. The VIKOR method is employed to detect unbalanced bidding, in which the line items and bidders are considered as criteria and alternatives in MCDM, respectively. And the engineer’s estimated price is chosen as evaluation benchmarking. Then relative distances between engineer’s estimated price and each bidding unit price are calculated to build decision matrix. The weights of factors are determined using entropy weight method. To illustrate the effectiveness of the proposed model, an application example is tested in detecting unbalanced bidding. Finally, the sensitivity analysis about VIKOR method is given. It shows that the presented model would provide a robust decision making support for owner in identifying unbalanced bidding.

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