scholarly journals Application of matter element analysis in weather forecasting

2012 ◽  
Vol 21 (2) ◽  
pp. 398-402 ◽  
Author(s):  
Lihua Feng ◽  
Weihu Hong
2012 ◽  
Vol 446-449 ◽  
pp. 3058-3061 ◽  
Author(s):  
Chun Tan ◽  
Jian Ping Chen ◽  
Yu Zhen Pan ◽  
Cen Cen Niu ◽  
Li Ming Xu

Based on the principle of fuzzy matter-element analysis, the concept of information entropy is introduced to establish a fuzzy matter-element evaluation method. This method is utilized to comprehensively evaluate the degree of debris flow. The classifications of debris flow are regarded as the objects of matter-element and their indexes for evaluation as well as the corresponding fuzzy values are used to construct the composite fuzzy matter-elements. By calculating the relevancy the comprehensive evaluation of debris flow can be carried out. This model is applied to analyze the degree of debris flow in the practical application. The application shows that the model is effective and practical.


2012 ◽  
Vol 569 ◽  
pp. 472-476
Author(s):  
Na Zhao ◽  
Rui Mu ◽  
Wei Huang ◽  
Wen Guang Lin

In view of the fuzziness and uncertainty characteristics of the index and evaluation incompatibility in the disassembly evaluation process, the disassembly evaluation model of fuzzy matter-element analysis based on entropy was proposed. Firstly, the fuzzy matter-element matrix and weight matrix was established, based on the analysis of the factors having influences on disassemblability. Then the dependent degree of each scheme was calculated to rank disassemblability of the product design schemes. Additionally, the index weight was determined by the method of entropy, which can effectively avoid interference of subjective factors in the process of weight determination. Finally, an example of disassemblability evaluation was given to show the effectiveness of the method.


2012 ◽  
Vol 598 ◽  
pp. 202-205 ◽  
Author(s):  
Mao Sheng Yang ◽  
Guan Jing Xiao ◽  
Jian Feng Liang

This paper is analyzed based on extension learn matter-element theory, combined with urban subway traffic service status, constituting the urban subway service level evaluation model and AHP. Taking Xi'an Metro Line 2 as the object of study determine the weight coefficient of each index and establish correlation function, in order to calculate the index of correlation and give a quantitative numerical representation of evaluation results. Finally, we can get the result that the Metro Line 2 of the traffic service level is good. This evaluation system can also be applied to other urban subway transportation service level evaluation.


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