Retrieval Method of Poor Students Subsidy Resource Database Based on Improved Grey Correlation Degree

2021 ◽  
Author(s):  
Xu Pang ◽  
Xiaoling Zhang ◽  
Luyao Wei
Keyword(s):  
Retrieval Method ◽  
Grey Correlation ◽  
Poor Students ◽  
Correlation Degree ◽  
Grey Correlation Degree

scholarly journals Research on Clearing Model of Long-Term Transaction Considering Matching Degree between Generation and Load

2020 ◽  
Vol 165 ◽  
pp. 06033
Author(s):  
Zhang Lin ◽  
Zhang Qinghe ◽  
Zhang Xue ◽  
Gao Hui
Keyword(s):  
Similarity Analysis ◽  
Load Curve ◽  
Market Clearing ◽  
Grey Correlation ◽  
Correlation Degree ◽  
New Energy ◽  
Matching Degree ◽  
Flexible Load ◽  
Grey Correlation Degree

With the development of new energy and flexible load, there are many kinds of power and load characters in the power grid. It’s necessary to considerate the similarity between generation output and load when it’s market clearing. First, similarity analysis of generation-load curve based on the grey correlation degree is introduced, correlation between power generation enterprises and power users can be calculated. Then, market clearing model is built. market clearing mechanism is set which considering the matching degree between generation and load. The technological process of market clearing is given. Last, the effectiveness of the proposed clearing model is verified by an example.

A Model of Weight Absolute Grey Correlation Degree for the Transformer Bushing State Assessment

2013 ◽  
Vol 345 ◽  
pp. 507-510
Author(s):  
Rong Gu ◽  
Jin Sha Yuan ◽  
Fei Lv
Keyword(s):  
Correlation Coefficients ◽  
State Assessment ◽  
The State ◽  
Condition Based Maintenance ◽  
Normal Operation ◽  
Power Equipment ◽  
Accurate Assessment ◽  
Grey Correlation ◽  
Correlation Degree ◽  
Grey Correlation Degree

Accurate assessment for the operational status of the transformer bushing is not only a prerequisite for the implementation of condition-based maintenance, but also to ensure the normal operation of the transformer and the whole power equipment conditions. In the paper, a model of weight absolute grey correlation degree was used to assess the transformer bushing state. Firstly, determined the assessment indicators and handled them. Secondly, the weights, correlation coefficients and each association were calculated. Thirdly, to compare the largest association of assessment indicators in grades as the transformer bushing final run state. Finally, give the state assessment results, according to the remark set. The result shows the model works well.

Dynamic Change Analysis of Grain Yield and Factors Based on Gray System in Northern Anhui Province

2012 ◽  
Vol 599 ◽  
pp. 934-937
Author(s):  
Hai Min Su ◽  
Ai Xia He
Keyword(s):  
Grain Yield ◽  
Development Strategy ◽  
Dynamic Change ◽  
Anhui Province ◽  
Net Income ◽  
Grey System ◽  
Change Analysis ◽  
Grey Correlation ◽  
Correlation Degree ◽  
Grey Correlation Degree

Considering some grain yield conditions of China, we considered that grain yield security in particular regard the sustainable development strategy is a pivotal position. Based on the statistical data from 1991 to 2010, grain problem in Northern Anhui Province is discussed in three aspects. With the help of the theory and method of grey system we found: The grain per unit area yield was primary element of grain yield, whose grey correlation degree was sort in the first; The grain-sown area and water conservancy facilities were main factors of which grey correlation degrees were respective sort in the second and third; However, the influence of natural disaster and net income of farmer per capita should not be ignored.

Decision Mechanism for Supplier Selection Under Sustainability

2017 ◽  
Vol 16 (01) ◽  
pp. 87-115 ◽  
Author(s):  
Congjun Rao ◽  
Mark Goh ◽  
Junjun Zheng
Keyword(s):  
Evaluation System ◽  
Supplier Selection ◽  
Three Dimensions ◽  
Sustainable Supply Chain ◽  
Interval Numbers ◽  
Grey Correlation ◽  
Decision Mechanism ◽  
Correlation Degree ◽  
Sustainable Supplier Selection ◽  
Grey Correlation Degree

Against the backdrop of responsible economic development, sustainable supply chain management (SSCM) is key to achieving the sustainable development for enterprise and industry. In this regard, sustainable supplier selection is crucial in SSCM. By integrating the three dimensions of sustainability, economic, environmental and social, this paper presents a new evaluation system for supplier selection from a sustainability perspective. Specifically, we design a decision mechanism for sustainable supplier selection based on linguistic 2-tuple grey correlation degree. In this proposed mechanism, the hybrid attribute values whereby real numbers, interval numbers and linguistic fuzzy variables coexist are transformed into linguistic 2-tuples. A ranking method based on linguistic 2-tuple grey correlation degree is then presented to rank the suppliers. An application example is presented to highlight the implementation, availability and feasibility of the proposed decision making mechanism.

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