Application of Multi-Attribute Decision Making Approach for Transesterification Process using Grey Relational Analysis
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This article is published in Journal of Engineering Science and Technology Review.The article was published on 2020-08-01 and is currently open access. It has received 6 citations till now. The article focuses on the topics: Grey relational analysis.read more
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Measuring the performance of international trade using a DEA-based approach with trade imbalances consideration
Yu Zhu,Feng Yang,Min Yang +2 more
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Study of highway asphalt pavement recycling maintenance scheme decision system and decision method
TL;DR: A calculation method for the recycled pavement quality recovery index is proposed, the economic benefits of decision schemes using economic models such as recycling ratio and cost are analyzed, and an optimal evaluation method of engineering cost and its fuzzy score intervals is put forward.
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Analysis of the Construction of Dance Teaching System Based on Digital Media Technology
TL;DR: The test results show that the model constructed by the neural network is more accurate than the regression model to predict the dance performance and the development level of the physical quality.
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COVID-19 and FinTech
TL;DR: The 2020 COVID-19 pandemic and the social distancing measures implemented to stop its spread will leave its mark on people, industries, and government policies long after the disease's health risk recede.
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The result greyness problem of the grey relational analysis and its solution
Abstract: This paper discusses how to deal with the greyness problem in the system from the perspective of “result”. Aiming at the greyness problem of the traditional grey relational analysis result, an information fusion grey relational analysis method based on D-S evidence theory and multi solution information fusion is proposed, which mends the traditional grey relational analysis method. The results show that the method proposed in the study has better effect than the traditional gray analysis method, and has higher accuracy in the wear particle identification, which indicates that it can further expand the application scope of the gray relationship analysis method.