Human-Water Relationship Evaluation Based on Cloud Model for Arid Area in Northwest China

2014 ◽  
Vol 1065-1069 ◽  
pp. 2942-2947
Author(s):  
Mei Wang ◽  
De Shan Tang ◽  
Wei Shan Hu ◽  
Yi Fan Bai
Keyword(s):  
Evaluation Method ◽  
Cloud Model ◽  
Water System ◽  
Northwest China ◽  
Arid Area ◽  
Three Dimensions ◽  
Evaluation Index ◽  
Entropy Weight ◽  
Evaluation Indexes ◽  
Entropy Weight Method

Human-water relationship evaluation method based on cloud model is put forward to cope with the vagueness in evaluation language. With the intensive study of the specialty in human-water relationship in Northwest China arid area, three dimensions related to human-water relationship, natural water cycle’s health degree (NWHD), Social water cycle’s rationality degree (SWRD) and human-to-water fitness degree (HWFD) are selected to describe the harmony degree between water system and human system. The limit of evaluation index subordinate to each dimension corresponding to every harmony level is determined, and thus we can generate a comprehensive cloud model with evaluation index harmony level. When numeric values substitute for basic evaluation indexes, combined with the weights calculated from entropy weight method and AHP method, we get the certainty distributions of dimension indexes and integration objects among each harmony level. Case shows that human-water relationship evaluation method based on cloud model can effectively solve the vagueness and uncertainty in evaluation language. The evaluation results reflect the harmony degree in Northwest China arid area precisely.

scholarly journals Research on Measurement and Application of China’s Regional Logistics Development Level under Low Carbon Environment

Processes ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 2273
Author(s):  
Zixue Guo ◽  
Yu Tian ◽  
Xinmei Guo ◽  
Zefang He
Keyword(s):  
Cloud Model ◽  
Evaluation Model ◽  
Three Dimensions ◽  
Numerical Characteristic ◽  
Low Carbon ◽  
Entropy Weight ◽  
Logistics Industry ◽  
Evaluation Indexes ◽  
Regional Logistics ◽  
Entropy Weight Method

To solve the problem of fuzziness and randomness in regional logistics decarbonization evaluation and accurately assess regional logistics decarbonization development, an evaluation model of regional logistics decarbonization development is established. First, the evaluation index of regional logistics decarbonization development is constructed from three dimensions: low-carbon logistics environment support, low-carbon logistics strength and low-carbon logistics potential. Second, the evaluation indexes are used as cloud model variables, and the cloud numerical characteristic values and cloud affiliation degrees are determined according to the cloud model theory. The entropy weight method is used to determine the index weights, and the comprehensive determination degree of the research object affiliated to the logistics decarbonization level is calculated comprehensively. Finally, Beijing-Tianjin-Hebei region is used as an example for empirical evidence, analyzing the development logistics decarbonization and its and temporal variability in Beijing, Tianjin and Hebei provinces and cities. The results of the study show that the development logistics decarbonization in Beijing, Tianjin and Hebei Province has been improved to different degrees during 2013–2019, but the development is uneven. Developing to 2019, the three provinces and cities of Beijing, Tianjin and Hebei still have significant differences in terms of economic environment, logistics industry scale, logistics industry inputs and outputs, and technical support.

Study of the Construction Plan Bid Assessment Method of the Coal Mine Project Based on Entropy-Weight Method

2013 ◽  
Vol 275-277 ◽  
pp. 2748-2751
Author(s):  
Yang Wang ◽  
Chuan Ming Zhang ◽  
Zu He Wang
Keyword(s):  
Coal Mine ◽  
Assessment Method ◽  
Evaluation Index ◽  
Actual Situation ◽  
Entropy Weight ◽  
Evaluation Indexes ◽  
Construction Scheme ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Optimal Construction

In order to choose the optimal construction scheme in the coal mine construction project, this paper establishes evaluation indexes and applies entropy weight method to determine the objective weight of evaluation index based on the expert scoring so that the evaluation results are more consistent with the actual situation. This method solves the drawbacks that the evaluation indexes depend on the subjective assumptions too much and provide an effective method for choosing the optimal bid scheme of the coal mine construction.

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.

scholarly journals Quantitative Risk Assessment for Deep Tunnel Failure Based on Normal Cloud Model: A Case Study at the ASHELE Copper Mine, China

2021 ◽  
Vol 11 (11) ◽  
pp. 5208
Author(s):  
Jianpo Liu ◽  
Hongxu Shi ◽  
Ren Wang ◽  
Yingtao Si ◽  
Dengcheng Wei ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Large Scale ◽  
Cloud Model ◽  
Quantitative Risk Assessment ◽  
Geological Condition ◽  
Deep Tunnel ◽  
Entropy Weight ◽  
Copper Mine ◽  
Evaluation Indexes ◽  
Metal Mines

The spatial and temporal distribution of tunnel failure is very complex due to geologic heterogeneity and variability in both mining processes and tunnel arrangement in deep metal mines. In this paper, the quantitative risk assessment for deep tunnel failure was performed using a normal cloud model at the Ashele copper mine, China. This was completed by considering the evaluation indexes of geological condition, mining process, and microseismic data. A weighted distribution of evaluation indexes was determined by implementation of an entropy weight method to reveal the primary parameters controlling tunnel failure. Additionally, the damage levels of the tunnel were quantitatively assigned by computing the degree of membership that different damage levels had, based on the expectation normalization method. The methods of maximum membership principle, comprehensive evaluation value, and fuzzy entropy were considered to determine the tunnel damage levels and risk of occurrence. The application of this method at the Ashele copper mine demonstrates that it meets the requirement of risk assessment for deep tunnel failure and can provide a basis for large-scale regional tunnel failure control in deep metal mines.

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.

Fuzzy Matter-Element Evaluation Method for Reliability Analysis of an Existing Highway Tunnel

2010 ◽  
Vol 163-167 ◽  
pp. 3110-3113
Author(s):  
Zheng Xi Gong ◽  
Jian Guo Yang
Keyword(s):  
Reliability Analysis ◽  
Evaluation Method ◽  
Evaluation Model ◽  
Concrete Strength ◽  
Concrete Lining ◽  
Tunnel Structure ◽  
Entropy Weight ◽  
Element Analysis ◽  
Evaluation Indexes ◽  
Highway Tunnel

Reliability analysis is the premise for reinforcement and maintenance of an existing highway tunnel. In order to understand the structure reliability of an existing highway tunnel, a fuzzy mat-ter-element evaluation method was put forward based on entropy weight according to the fuzzy matter-element analysis method. Firstly, levels of inspection results were regarded as objects of matter-element and composite fuzzy matter-elements were constructed considering such factors and their evaluation indexes as cracks of concrete lining, lining thickness, concrete strength, cavities behind the lining and water leakage conditions. Secondly, reliability evaluation results of the existing tunnel structure were obtained by calculating the relevancy. Lastly, fuzzy matter-element evaluation model was effectively used to evaluate reliability of one highway tunnel structure.

scholarly journals Multi-Granularity Feasibility Evaluation Method of the Partial Destructive Disassembly for an End-of-Life Product

2021 ◽  
Author(s):  
Lei Guo ◽  
Xiufen ZHANG
Keyword(s):  
End Of Life ◽  
Evaluation Method ◽  
Evaluation Model ◽  
Entropy Weight ◽  
Component Level ◽  
Fine Grained ◽  
Feasibility Evaluation ◽  
Entropy Weight Method ◽  
Weight Method

Abstract Partial destructive disassembly (PDD) is essential for end-of-life products to improve their automatic disassembly efficiency and reduce disassembly cost. A feasibility evaluation of the PDD is the key step to evaluate whether the PDD can be implemented. However, it has not been studied previously to our knowledge. To deal with this problem, a multi-granularity feasibility evaluation method is proposed. A multi-granularity feasibility evaluation model of the PDD was constructed based on the complex product’s hierarchical structure, which not only described the evaluation indices from the product level to the component level but also presented methods and rules to quantify them. 1Thus, disassembly entropy was introduced into the target group’s coarse granularity evaluation. The feasibility of the fine-grained index of the PDD for the component layer was constructed based on the product’s failure characteristic. The fine-grained index was calculated by the fuzzy trigonometric function and its weighting was obtained based on the structure entropy weight method. Thus, the results of the evaluation were used as feedback to guide the PDD process. Finally, a Passat engine case study illustrates the feasibility and effectiveness of the method.

scholarly journals Assessment of the Ecological Niche of Photovoltaic Agriculture in China

2019 ◽  
Vol 11 (8) ◽  
pp. 2268 ◽  
Author(s):  
Wang ◽  
Wang ◽  
Chen
Keyword(s):  
Ecological Niche ◽  
Cloud Model ◽  
Development Trend ◽  
Evaluation Index System ◽  
Entropy Weight ◽  
Interval Numbers ◽  
Good State ◽  
Entropy Weight Method ◽  
Weight Method ◽  
The Development Trend

To evaluate the ecological niche of photovoltaic agriculture in China, an evaluation index system was constructed. Based on the presentation form of interval numbers, we used the interval entropy weight method and interval cloud model to measure the niche state value and niche role value of photovoltaic agriculture. In this way, we determined the development trend of the ecological niche of photovoltaic agriculture. The results show that Chinese photovoltaic agriculture is in a good state and plays a good, but weak, role. The ecological niche of China’s photovoltaic agriculture will undergo a four-stage evolution process: positioning, integration, leap, and symbiosis. China has completed the positioning stage and entered the integration stage. Hence, it is important to constantly improve the level of industrial integration technology and to form a new photovoltaic agriculture recycling economic ecosystem.

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