DocumentCode :
1778914
Title :
The Application of Grey Relational Analysis Model in the Detection of Communication Interrupt in Self-Organizing Network
Author :
Liangliang Yin ; Aijiang Chen ; Meng Wu
Author_Institution :
Fundamental Dept., Hebei Finance Univ., Baoding, China
fYear :
2014
fDate :
18-20 Sept. 2014
Firstpage :
435
Lastpage :
438
Abstract :
In the process of multi index analysis and evaluation, the index weight is determined according to each index relative principal component contribution through principal component analysis and principal component extraction. Then, combined evaluation model will be formed through the Grey Relational Analysis, calculation of each index according to grey weighted relative degree. Combined with key performance indexes in network communication, this paper establishes a break warming mechanism, thereby testing the scientific applicability of combinational evaluation model.
Keywords :
grey systems; principal component analysis; radio networks; break warming mechanism; combinational evaluation model; communication interrupt detection; grey relational analysis model; grey weighted relative degree; network communication; principal component analysis; principal component extraction; relative principal component contribution; self-organizing network; Analytical models; Communities; Finance; Indexes; Performance analysis; Principal component analysis; Vectors; detection of communication interrupt; grey relational analysis; principal component analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Instrumentation and Measurement, Computer, Communication and Control (IMCCC), 2014 Fourth International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4799-6574-8
Type :
conf
DOI :
10.1109/IMCCC.2014.97
Filename :
6995067
Link To Document :
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