Electricity Competitiveness Evaluation Research Based on Principal Component Analysis

2014 ◽  
Vol 960-961 ◽  
pp. 1467-1472
Author(s):  
Dong Xiao Niu ◽  
Qiong Wang ◽  
Peng Wang ◽  
Shu Yi Zhou ◽  
Wei Dong Liu ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Evaluation Method ◽  
Evaluation Research ◽  
Correlation Method ◽  
Principal Component ◽  
Component Analysis ◽  
Evaluation Index System ◽  
Index Method ◽  
Comprehensive Index ◽  
Comprehensive Index Method

This paper constructs the evaluation index system of electricity competitiveness in terminal energy consumption, evaluates the electricity competitiveness in Ningxia region from 2005 to 2011 using principal component analysis (PCA), and compares the evaluation results of PCA, the linear weighted method, the comprehensive index method and TOPSIS-grey correlation method. The compatibility degree and difference degree of each method are analyzed and calculated to verify the applicability of the PCA. The results show that PCA is the most scientific and appropriate evaluation method.

scholarly journals Multiple Process Capability Improvement Method based on Principal Component Analysis

2019 ◽  
Vol 1 (1) ◽  
Author(s):  
Guangqi Ying ◽  
Yan Ran ◽  
Genbao Zhang ◽  
Yuxin Liu ◽  
Shengyong Zhang
Keyword(s):  
Principal Component Analysis ◽  
Principal Components ◽  
Evaluation Method ◽  
Process Capability ◽  
Principal Component ◽  
Component Analysis ◽  
Multiple Process ◽  
Improvement Method ◽  
Capability Evaluation ◽  
Capability Improvement

For the traditional multi-process capability construction method based on principal component analysis, the process variables are mainly considered, but not the process capability, which leads to the deviation of the contribution rate of principal component. In response to the question, this paper first clarifies the problem from two aspects: theoretical analysis and example proof. Secondly, aiming at the rationality of principal components degree, an evaluation method for pre-processing data before constructing MPCI using PCA is proposed. The pre-processing of data is mainly to standardize the specification interval of quality characteristics making the principal components degree more reasonable and optimizes the process capability evaluation method. Finally, the effectiveness and feasibility of the method are proved by an application example.

An Evaluation Method Based on Grey Incidence Coefficient and Double-Point Method

2011 ◽  
Vol 50-51 ◽  
pp. 766-769
Author(s):  
Pu Yu Hao ◽  
Bao Feng Li ◽  
Yu Huan Cui
Keyword(s):  
Principal Component Analysis ◽  
Correlation Matrix ◽  
Double Point ◽  
Evaluation Method ◽  
Correlation Method ◽  
Principal Component ◽  
Point Method ◽  
Economic Indicators ◽  
Evaluation Indexes ◽  
Main Factors

To one company, it takes 8 major economic indicators as evaluation indexes. Firstly, it uses correlation method to determine the weight and uses the double-point method to sort the 8-years comprehensive economic enterprises. Then through the analysis of the correlation matrix, it identifies the main factors. Finally, the ranking and principal component analysis results are compared and analyzed.

scholarly journals Study on pollution of different tributaries of Bai Ta Pu river based on principal component analysis

2020 ◽  
Vol 143 ◽  
pp. 02010
Author(s):  
Shanshan Ma ◽  
Shicong Geng ◽  
Guofeng Wang ◽  
Shuo Yang ◽  
Yu Gao
Keyword(s):  
Principal Component Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Contribution Rate ◽  
Comprehensive Index ◽  
Comprehensive Score ◽  
Pu River

On the basis of understanding the indexes of different tributaries of Bai Ta Pu river and according to the contribution rate of each principal component, the comprehensive score of different tributaries was calculated through principal component analysis. Each tributary was ranked according to the score, and the evaluation results were analyzed. It is pointed out that the tributary with the highest comprehensive index of Bai Ta Pu river is in Shi Jia Zhai bridge and the tributary with the lowest comprehensive index is in De Sheng Tun bridge.

Effect Evaluation of Video Surveillance System on the Basis of Principal Component Analysis

2015 ◽  
Vol 713-715 ◽  
pp. 479-481
Author(s):  
Tao Zhu ◽  
Wei Jun Hong
Keyword(s):  
Principal Component Analysis ◽  
Video Surveillance ◽  
Index System ◽  
Surveillance System ◽  
Principal Component ◽  
Component Analysis ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Video Surveillance System ◽  
Effect Evaluation

The effect evaluation of video surveillance system is important for the effect of expected protection on the system. A comprehensive effect evaluation index system of video surveillance system is established. The Principal Component Analysis (PCA) method is applied on the established index system to obtain a new evaluation index system. It is proved in instances that the effect evaluation method of video surveillance system with the application of the index system is capable of evaluating the video surveillance system effectively and quantitatively. The protective effect of the video surveillance system is evaluated objectively on the basis of the new index system with the PCA.

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