The Influence of the Two-child Policy on China’s Population Projection

Since January 1,2016, China has implemented the Two-child policy. The Two-child policy is contrast to the One-child policy which has been implemented for nearly 30 years by Chinese government. Since this Two-child policy is a basic national policy of China, its purpose is to determine a reasonable rate of population development. Whether the two-child policy can really achieve the desired effect. This article will discuss statistical methods and social realities.Firstly, author uses the entropy weight with Analytic Hierarchy Process(AHP) method. Eighteen indicators affecting the population were set up to establish an initial evaluation matrix according to the actual situation and determine the accurate weight of each indicator.Secondly, the author makes predictions on China’s future population. In order to make sure the accuracy of the forecast, author makes second forecast of the modified value to reduce the noise caused by the entropy weight method. And the author discusses which method is suit for this question.Finally, author analyzes this situation.

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Application of Entropy-Weight Hierarchy Analysis on Study of Height Prediction of Water Conducted Zone

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.742.497 ◽

2013 ◽

Vol 742 ◽

pp. 497-500

Author(s):

Meng Lin Xu ◽

De Shen Zhao

Keyword(s):

Analytic Hierarchy Process ◽

Measurement Data ◽

Entropy Weight ◽

Analytic Hierarchy ◽

Actual Measurement ◽

Entropy Weight Method ◽

Hierarchy Analysis ◽

Height Prediction ◽

Weight Method ◽

Hierarchy Process

Based on actual measurement data in Da Ping as the samples,according to the experience, and ends with calculate every factors weight and height prediction of the water conducted zone by Matlab using the combination entropy-weight method and analytic hierarchy process. this paper introduces a comprehensive prediction model consisting of analytic hierarchy process and combination entropy-weight method. The method,overcoming weights imbalance,gives the evaluation result better than does the single analytic hierarchy process, it is a new valid method for scientific forecast on water conducted zone.

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Case Studies and Evaluation of Green Mining considering Uncertainty Factors and Multiple Indicator Weights

Geofluids ◽

10.1155/2020/8893224 ◽

2020 ◽

Vol 2020 ◽

pp. 1-15

Author(s):

J. Wang ◽

B. Hu ◽

J. Chang ◽

W. P. Wang ◽

H. L. Li

Keyword(s):

Building Material ◽

Measurement Theory ◽

Entropy Weight ◽

Analytic Hierarchy ◽

Uncertainty Measurement ◽

Entropy Weight Method ◽

Multiple Indicator ◽

Weight Method ◽

Hierarchy Process

The implementation of green mining (GM) can improve the quality of economic growth. Based on uncertainty measurement theory (UMT), we aim to develop a reasonable method of green mining (GM) evaluation for building material (BM) mines via comparative analysis. At first, establish UMT evaluating model for GM. The linear uncertainty (LU) measurement function was employed to solve single indicator measure values. Then, based on the entropy weight method (EWM), the analytic hierarchy process (AHP) and a method that couples AHP and EWM (EWM-AHP), and the weights of the evaluating indicator were determined. At last, based on UMT, a total of 6 coupled methods are developed to evaluate the GM grades. The GM grades of two building material mines in China were evaluated by applying the 6 methods. Future suggestions were given to the enterprises to improve the GM grades. According to the actual situations of GM in the two building material (BM) mines, it can be speculated that UMT-EWM-AHP-CDRT is the most reasonable method. The reasonable method can not only evaluate the GM grades for BM but also provide guidance to the development of GM for BM.

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Coach Evaluation Method Based on AHP

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.551.722 ◽

2014 ◽

Vol 551 ◽

pp. 722-726

Author(s):

Xin Cao

Keyword(s):

Evaluation Method ◽

Comprehensive Evaluation ◽

Entropy Weight ◽

Analytic Hierarchy ◽

Time Line ◽

The Hierarchical Structure ◽

Entropy Weight Method ◽

Weight Method ◽

Time Periods ◽

Hierarchy Process

In order to evaluate coaches, this paper established the model of comprehensive evaluation based on analytic hierarchy process (AHP). Firstly, I establish the hierarchical structure of the system; Secondly, for researching the influence of time line horizon in analysis, I divided coaches into several groups by their career time and calculated the weights of indicators of each group using entropy weight method; Finally, calculate the weight between the criteria layer and objective layer. Female coach data is difficult to find, so I select 100 college basketball male coach data. Put the data into model and get a score. The score showed the final result which can give us a sort of reasonable coach list. This model can reduce the influence of different time periods for evaluation of the coach.

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Assessment of Laboratory Safety in Universities Based on Combined Weighting Method and Unascertained Measure Theory

E3S Web of Conferences ◽

10.1051/e3sconf/202125702026 ◽

2021 ◽

Vol 257 ◽

pp. 02026

Author(s):

Kong Shengli ◽

Song Yuqing ◽

Yang Pengfei ◽

Fang Xinmei ◽

Yang Zhen ◽

...

Keyword(s):

Safety Management ◽

Measure Theory ◽

Equipment Management ◽

Laboratory Safety ◽

Entropy Weight ◽

Analytic Hierarchy ◽

Weighting Method ◽

Assessment Index ◽

Entropy Weight Method ◽

Weight Method

In order to avoid accidents and improve the level of laboratory safety management in universities, a laboratory safety assessment method based on entropy weight method, analytic hierarchy process and unascertained measure theory is put forward. The laboratory safety assessment index system is established by selecting eight assessment indexes such as hazardous chemicals management, instrument and equipment management and personal protective equipment management; The comprehensive weight of the assessment index is determined by combining the combination weighting method of analytic hierarchy process (AHP) and entropy weight method (EW). According to the principle of maximum membership degree, the safety grade of university laboratory is determined, and compared with the actual results. This work indicated that this innovated method can reasonably evaluate the current situation of laboratory safety, and it can provide a reference for strengthening laboratory safety management.

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Integrated energy service demand evaluation based on AHP and entropy weight method

E3S Web of Conferences ◽

10.1051/e3sconf/202018501046 ◽

2020 ◽

Vol 185 ◽

pp. 01046

Author(s):

Xianjun Qi ◽

Mucong Zhou

Keyword(s):

Clustering Algorithm ◽

Rapid Development ◽

Assessment Model ◽

Entropy Weight ◽

Analytic Hierarchy ◽

Energy Services ◽

Energy Service Demand ◽

Entropy Weight Method ◽

Energy Service ◽

Weight Method

In the context of the energy revolution, integrated energy services have ushered in a period of opportunities for rapid development. To assess the demand of users of integrated energy services, we establish indexes of demand of integrated energy service users. We got the assessment model based on the analytic hierarchy process (AHP) and entropy weight method. The proposed assessment model is tested on 50 users, and K-means clustering algorithm is used to cluster users. The characteristics of the service requirements of each type are analysed.

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Research on maintenance method of relay protection state based on combination weight and gray relation

MATEC Web of Conferences ◽

10.1051/matecconf/202235502026 ◽

2022 ◽

Vol 355 ◽

pp. 02026

Author(s):

Xuanhang Wang ◽

Zhijian Liang

Keyword(s):

Analytic Hierarchy Process ◽

Hierarchical Structure ◽

Entropy Weight ◽

Analytic Hierarchy ◽

Weight Calculation ◽

The Hierarchical Structure ◽

Entropy Weight Method ◽

Weight Method ◽

The Analytic Hierarchy Process ◽

Hierarchy Process

Relatively independent evaluation parameters are selected from many parameters through pedigree clustering.Learning the analytic hierarchy process (ahp) and entropy weight method can determine the weight, and at the same time to understand the error of the analytic hierarchy process (ahp) and entropy weight method is large, so the combination of the subjective and objective weight obtained by the two methods, using the improved entropy weight-ahp method to determine the weight. The improved weight calculation method has a clear hierarchical structure, which not only considers the influence of subjective and objective factors, but also makes full use of the weight information in the hierarchical structure. Considering the uncertainty of information, gray relation is adopted to deal with the data, so as to make maintenance rules.

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Control Strategy Based on the Flexible Multi-State Switch for Maximum Consumption of Distributed Generations in Distribution Network

Applied Sciences ◽

10.3390/app9142871 ◽

2019 ◽

Vol 9 (14) ◽

pp. 2871

Author(s):

Guopeng Zhao ◽

Jiaxing Liu ◽

Siyuan Liu ◽

Xinwei Zhou ◽

Jihong Li ◽

...

Keyword(s):

Distributed Generation ◽

Control Strategy ◽

Distribution Network ◽

Access Point ◽

Entropy Weight ◽

Analytic Hierarchy ◽

Distributed Generations ◽

Entropy Weight Method ◽

Weight Method ◽

Hierarchy Process

With the aim of improving the consumption capacity of distributed generation (DG) in the distribution network, the control strategy of the flexible multi-state switch (FMSS) for the maximum consumption of distributed generation is proposed. The principle that FMSS improves the consumption capacity of distributed generation is analyzed and verified by simulation. The estimating method for the maximum accessible capacity of distributed generation at the access point is proposed. For complex systems, the multi-objective function for maximizing the consumption of distributed generation was established, and the analytic hierarchy process and entropy weight method were combined to obtain the weight factor. Then, combined with system constraints, the results can be obtained by optimization algorithms. Finally, the control strategy of FMSS for maximum consumption of distributed generation was realized and verified in a simulation.

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Welfare Effect Evaluation of Land-Lost Farmers’ Households under Different Livelihood Asset Allocation

Land ◽

10.3390/land8110176 ◽

2019 ◽

Vol 8 (11) ◽

pp. 176 ◽

Cited By ~ 3

Author(s):

Yanwei Zhang ◽

Hualin Xie

Keyword(s):

Asset Allocation ◽

Cloud Model ◽

Living Environment ◽

Entropy Weight ◽

Analytic Hierarchy ◽

Welfare Level ◽

Entropy Weight Method ◽

Household Assets ◽

Weight Method ◽

High Level

Based on research into the theory of household assets and the welfare of farmers, the Analytic Hierarchy Process (AHP)-entropy weight method and cloud model were used to study the welfare level of land-lost farmers’ households under the different livelihood assets of Taohuayi Village, Taohuasan Village and Taohuawu Village in Taohua Town, Nanchang City. The results show that (1) The comprehensive welfare level of asset-deficient farmers’ households is between the “bad” and “medium” levels and is closer to the “bad” level. The comprehensive welfare level of asset-balanced farmers’ households is between “general” and “good” and is closer to the “good” level. (2) Judging from the various functional activity indicators that affect the welfare of the land-lost farmers, after the asset-deficient farmers’ households lose their land, the welfare level of the family’s financial situation, social security, living environment, mental status, development opportunities, and political participation are generally at low to medium-low levels, and only living conditions are at medium-to-high levels. (3) The welfare level of the living environment of the asset-balanced farmers’ households is at a moderately low level, and the welfare of the remaining functional activities is at a medium to a medium-high level. We then propose corresponding policy recommendations. After losing land, it is necessary to implement a differentiated circulation guarantee and support policies to achieve targeted compensation and support for the land-lost farmers’ households to improve the welfare level of land-lost farmers’ households under different living asset allocation.

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