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

Land ◽  
2019 ◽  
Vol 8 (11) ◽  
pp. 176 ◽  
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.

scholarly journals Emergency Situation Safety Evaluation of Marine Ship Collision Accident Based on Extension Cloud Model

2021 ◽  
Vol 9 (12) ◽  
pp. 1370
Author(s):  
Yiyang Zou ◽  
Yingjun Zhang ◽  
Zhihong Ma
Keyword(s):  
Cloud Model ◽  
Evaluation Model ◽  
Safety Evaluation ◽  
Emergency Situation ◽  
Indicator System ◽  
Entropy Weight ◽  
Analytic Hierarchy ◽  
Entropy Weight Method ◽  
Evaluation Indicator System ◽  
Weight Method

After collisions at sea, situation evaluation and analysis are very important to follow-up rescue operations. At present, there are few ways give weights in the current situational safety evaluation methods after collisions of marine ships. Most safety evaluation models ignore the blurred boundaries of evaluation grades. To solve these issues, this paper identifies the safety evaluation indicator system and evaluation standards, and establishes an after-collisions safety evaluation model of maritime ships based on the extension cloud theory. This model combines the extension cloud model, the analytic hierarchy process, the entropy weight method, and game theory. Using this model, the situation safety of two collisions was evaluated. The evaluation results reflect the effectiveness of the model. In order to ensure the safety of the lives and property of marine personnel, suggestions have been made to strengthen crew training, improve ship’s self-rescue ability at sea, and establish a complete marine emergency response rescue system.

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

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.

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.

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

Geofluids ◽  
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.

Coach Evaluation Method Based on AHP

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.

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

2018 ◽  
Vol 7 (3) ◽  
pp. 94 ◽  
Author(s):  
Hao Yan
Keyword(s):  
National Policy ◽  
Chinese Government ◽  
Entropy Weight ◽  
Analytic Hierarchy ◽  
Child Policy ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Set Up ◽  
The One ◽  
Evaluation Matrix

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.

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

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.

scholarly journals The Risk Assessment of Debris Flow Hazards in Banshanmen Gully Based on the Entropy Weight-Normal Cloud Method

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
X. B. Gu ◽  
S. T. Wu ◽  
X. J. Ji ◽  
Y. H. Zhu
Keyword(s):  
Risk Assessment ◽  
Debris Flow ◽  
Cloud Model ◽  
Risk Estimation ◽  
Assessment Method ◽  
Risk Level ◽  
Entropy Weight ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Index Weight

The debris flow is one of the geological hazards; its occurrence is complex, fuzzy, and random. And it is affected by many indices; a new multi-index assessment method is proposed to analyze the risk level of debris flow based on the entropy weight-normal cloud model in Banshanmen gully. The index weight is calculated by using the entropy weight method. Then, the certainty degree of each index belonging to the corresponding cloud is obtained by using the cloud model. The final risk level of debris flow is determined according to the synthetic certainty degree. The conclusions are drawn that the method is feasible and accurate rate of risk estimation for debris flow is very high, so a new method and thoughts for the risk assessment of debris flow can be provided in the future.

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

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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