scholarly journals Research on Grey Relational Clustering Model of Multiobjective Human Resources Based on Time Constraint

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Xiaowen Wang ◽  
Yijun Mu
Keyword(s):  
Reference Sequence ◽  
Multidimensional Data ◽  
Clustering Method ◽  
Correlation Clustering ◽  
Grey Correlation ◽  
Clustering Model ◽  
Relational Clustering ◽  
Correlation Degree ◽  
Grey Correlation Degree ◽  
Grey Relational

The existing grey relational clustering method has limitations in the application of multidimensional sequences and cannot directly calculate the grey correlation degree between unequal-length sequences. In this paper, by introducing the multidimensional dynamic DTW distance into the existing 3D grey relational model, a new grey relational analysis model that can be applied to multidimensional data is proposed, which is based on DTW distance. The model does not require one-to-one correspondence of data points but evaluates the similarity of its geometric curves by calculating the shortest distance between sequences. In addition, since the traditional grey correlation clustering method is implemented, the method first extracts the reference sequence from the observation sequence and then calculates the similarity between the observation objects by calculating the grey correlation degree between each sequence and the reference sequence, so each object only needs to be calculated once. The experimental results show that the multidimensional grey correlation degree based on DTW distance and the grey relational clustering model oriented to multidimensional data are more accurate than other existing methods. Finally, the grey relation clustering method of multidimensional data is used to analyze the multiobjective human resource grey relational clustering model under time constraints, and the validity of the model is verified.

The Classification of Low Permeable and Low Yield Reservoir Based on Grey Relational Clustering Analysis

2013 ◽  
Vol 392 ◽  
pp. 997-1005 ◽  
Author(s):  
Yan Feng Lu ◽  
Rui Quan Liao ◽  
Jun Liang Li
Keyword(s):  
Confidence Level ◽  
Clustering Analysis ◽  
Oil Wells ◽  
Data Series ◽  
Analysis Model ◽  
Weighting Method ◽  
Relational Clustering ◽  
Correlation Degree ◽  
Grey Correlation Degree ◽  
Grey Relational

In accordance with the non-dimensional data feature of low permeable and low yield reservoir, this paper defines the distance between non-dimensional vectors and establishes a grey correlation degree quantification model of non-dimensional data series, which exploits relevance weighting method and objective weighting method to determine the comprehensive weight of classification indexes respectively and establishes a grey clustering analysis model to sort the oil wells and obtain the maximum spanning tree to classify the low permeable and low yield reservoir in a certain confidence level. The actual classification results of the two laminated production wells of Baoziwan reservoir of Changqing oilfield shows the grey relational clustering analysis of low permeable and low yield reservoir classification has extensive adaptability for non-dimensional data, and the weight is determined rationally, the method could classify oil wells under different confidence level according to different requirement, which has preferable guidance to practical problems.

Control of Production Cost Based on Grey Correlation Degree in Wulongquan Mine

2014 ◽  
Vol 668-669 ◽  
pp. 1605-1610
Author(s):  
Li Hua Ke ◽  
Yu Liu ◽  
Yi Cheng Ye
Keyword(s):  
Production Cost ◽  
Production Capacity ◽  
Labor Cost ◽  
Production Costs ◽  
Reference Sequence ◽  
Affecting Factors ◽  
Grey Correlation ◽  
Correlation Degree ◽  
Grey Correlation Analysis ◽  
Grey Correlation Degree

In order to solve the problems such as low production capacity, high production costs and insufficient resources utilization in Wulongquan mine, the method of grey correlation analysis has been adopted to analyze the main affecting factors about mine production cost. Considering the changes and tendency of these time sequences, grey absolute correlation degree has been used to reflect the strong-weak degrees and orders of the relationship between reference sequence and comparison sequences better based on non-dimensional values. According to the calculating results, labor cost, depreciation cost and materials cost is main factors. So some appropriate measures have been put forward to control total cost.

Grey relational analysis for the AQI of Beijing, Tianjin, and Shijiazhuang and related countermeasures

2018 ◽  
Vol 8 (2) ◽  
pp. 156-166 ◽  
Author(s):  
Bin Fu ◽  
Xiao Hui Gao ◽  
Lifeng Wu
Keyword(s):  
Air Quality ◽  
Content Type ◽  
Grey Correlation ◽  
Correlation Degree ◽  
Calculation Results ◽  
Relation Model ◽  
Grey Correlation Degree ◽  
Grey Relational ◽  
The Relationship

Purpose The purpose of this paper is to explore the relationship among the air quality index (AQI) of Beijing-Tianjin-Shijiazhuang region and find countermeasures to control the pollution situation. Design/methodology/approach This study used the grey convex relation model to calculate the grey correlation degree through the AQI of Beijing-Tianjin-Shijiazhuang region. Findings By analyzing the calculation results among the three cities, it was concluded that the air quality of the three cities is closely related. Therefore, the Beijing-Tianjin-Shijiazhuang region should collaboratively improve the air quality for common development. Research limitations/implications More approaches may be adopted to calculate the grey correlation degree in the further research studies. Practical implications There exist some practical difficulties in implementing these governance measures. Originality/value The paper gives the countermeasures to control the pollution situation in Beijing-Tianjin-Shijiazhuang region.

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.

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