scholarly journals Study on Evolution of Food Safety Status and Supervision Policy—A System Based on Quantity, Quality, and Development Safety

2019 ◽  
Vol 11 (23) ◽  
pp. 6656
Author(s):  
Jianhui Yang ◽  
Yaoben Lin

This paper aims to construct an index system of evaluating food safety status, composed of three sub-systems—quantity safety, quality safety, and development safety. The index system is designed to collect annual data from 2005 to 2017 and run a chronological evaluation on China’s food safety status based on an entropy method. The evaluation results indicate that though China’s food safety supervision effect has been stably sound, the highest score is 0.7392 (in 2017). In addition, the proportions of the above three sub-systems were changed towards a balanced trend, with quality safety rising from less than 7% to 36.19% as a significant part of the evaluation of the effect of food safety supervision. In terms of single indexes, agrochemical input intensity and the ontology of agro-production safety have made relatively great contributions, while the indexes that embody price safety lack stability, and the roles of indexes related to development safety in the effect of food safety supervision have been increasingly recognized and valued.

2011 ◽  
Vol 148-149 ◽  
pp. 923-927
Author(s):  
Qi Lu Huang ◽  
Xin Wang ◽  
Rui Jie Li ◽  
Shun De Gao

Scientific and practical crane evaluation index system is expected to obtain by screening of indices in this paper. The initial comprehensive evaluation indices are selected by stratification. Then the quantitative indices are screened by entropy method and Pearson correlation coefficient method, and the qualitative indices are screened by Delphi method and Spearman correlation coefficient method. The little effect indices on the evaluation result are deleted and the redundant information between the indices are got rid of. The index system simplified is comprehensiveness and representative, which is convenient to compare and evaluate cranes.


2021 ◽  
Vol 236 ◽  
pp. 03011
Author(s):  
Xin Qing ◽  
Haifa Jia ◽  
Chengkui Liu

Guangzhou is the capital city of Guangdong Province, which is currently in a stage of transformation and development. This paper takes Guangzhou’s ecological economy, ecological society, ecological environment as the research objects and constructs an evaluation index system for Guangzhou’s ecological liveability. It takes social progress, economic development and environmental protection as the primary indicators. The index system is used to construct the ecological livability evaluation index system of Guangzhou through the entropy method.


2019 ◽  
Vol 2019 ◽  
pp. 1-12 ◽  
Author(s):  
Xianwen Gong

This paper builds a coupling coordinated development model for urban-rural logistics based on coupling theory and synergy theory, designs an index system for the coordinated development of urban-rural logistics based on supply chain management, and determines the weight of the index system using the entropy method. Supported by official statistics, this paper measures the level and analyzes the changing trend of the coupling coordinated development of urban-rural logistics from 2001 to 2015 in China. The results show that, in the study period, the orderly development level of both urban and rural logistics was improved, and the coordinated development level of urban-rural logistics generally maintained a slow upward trend. However, the interactive coupling level between urban and rural logistics was stagnant, and the orderly development differences were gradually enlarged. This study suggests that setting up urban-rural logistics integrated systems, including material flow, financing flow, information flow, and commerce flow, has become an effective way to break through the division between urban and rural logistics and realize the coordinated development of urban-rural logistics.


2021 ◽  
Vol 268 ◽  
pp. 01063
Author(s):  
Yunqing Chen ◽  
Ping Wang

Against the present background of trade protectionism and anti-globalization, an independent and controllable high-end equipment manufacturing industry has become the focus of attention from all walks of life. Based on industrial safety and some related theories, this paper analyzes the connotation of an independent and controllable high-end equipment manufacturing industry, constructs a measurement index system of it with patent information, and designs a solution by a combination of “Entropy Method + TOPSIS”. At the end of the paper, by using the relevant data of global patent database, the offshore equipment manufacturing industry is taken as an example to measure its ability of independence and controllability. The results show that the measurement index data is consistent with the development status of China's offshore equipment manufacturing industry, which verifies the effectiveness of the index system and measurement method.


2019 ◽  
Vol 12 (3) ◽  
pp. 202-211
Author(s):  
Yuancheng Li ◽  
Rong Huang ◽  
Xiangqian Nie

Background: With the rapid development of the Internet, the number of web spam has increased dramatically in recent years, which has wasted search engine storage and computing power on a massive scale. To identify the web spam effectively, the content features, link features, hidden features and quality features of web page are integrated to establish the corresponding web spam identification index system. However, the index system is highly correlation dimension. Methods: An improved method of autoencoder named stacked autoencoder neural network (SAE) is used to realize the reduction of the web spam identification index system. Results: The experiment results show that our method could reduce effectively the index of web spam and significantly improves the recognition rate in the following work. Conclusion: An autoencoder based web spam indexes reduction method is proposed in this paper. The experimental results show that it greatly reduces the temporal and spatial complexity of the future web spam detection model.


2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Hongliang Wu ◽  
Daoxin Peng ◽  
Ling Wang

Effectiveness evaluations are one of the important ways to guide grid investment and to improve investment efficiency. Improving the effectiveness of grid investment evaluations is studied based on the optimization of the investment evaluation index system and the utility evaluation model. The index system is optimized by establishing an evaluation index system of grid investment effectiveness, considering the redundancy between the indices, and constructing an ISM-DEA model. The utility function model was introduced to fully consider the different risk appetites of decision-makers, and a utility evaluation model that takes risk appetite into account was established. An improved weight integration model based on multiobjective optimization was established by considering the minimum deviation and the trend-optimal objective function when setting the index weights. The calculation results show that the feasibility of the index system optimization model and utility evaluation model constructed in this study is verified under the premise of satisfying the assumptions. By adjusting the risk preference coefficient of decision-makers, the dynamic optimization of the grid investment utility evaluation results can be realized.


2014 ◽  
Vol 687-691 ◽  
pp. 5169-5172
Author(s):  
Li Na Zhang ◽  
Bo Yang

China is a big agricultural country, effective prediction of peasants’ income is very important. This study mainly uses the SVM theory to predict the peasants’ income. By analyzing the influence factors of peasants’ income, establishes the index system, that is corresponding relationship of peasants’ income and factors of social influence, According to this index system, designs the prediction method of peasants’ income based on SVM. Bases on the statistical data of social factors and peasants’ income between 1990-2012 in china, to train the SVM model, at the same time, the kernel function and parameters of SVM used were setting and compared. The experimental results show that the accuracy of RBF function is 90.7%, the time is 98ms, has higher accuracy and faster computing speed.


2020 ◽  
Vol 1656 ◽  
pp. 012015
Author(s):  
Jialu Liu ◽  
Huicong Ning ◽  
Yuanhui Bai ◽  
Tianzi Yan

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