DocumentCode
2243737
Title
Research on index weight based on improved Grey Relational Analysis
Author
Yang, Mei ; Deng, Mei-hong ; Jia, Rong-yan ; Liu, Yue
Author_Institution
Sch. of Econ. & Manage., Hebei Univ. of Sci. & Technol., Shijiazhuang, China
Volume
4
fYear
2010
fDate
11-14 July 2010
Firstpage
1967
Lastpage
1970
Abstract
Grey Relational Analysis is an method of analysis and calculate the relational degree of evaluated object, which can characterize the relational degree between object with viral object. Based on the traditional Grey Relational Analysis method, an improved method of accounting Grey relational Analysis coefficient and Grey Relational Analysis degree is introduced. Through calculating relational degree of index-object, can obtain the relational matrix of index. It can characterize the relational degree of index, so as to obtain the index weight.
Keywords
economics; grey systems; matrix algebra; statistical analysis; grey relational analysis; grey relational analysis coefficient; grey relational analysis degree; index weight; index-object relational degree; relational matrix; Biological system modeling; Cybernetics; Economics; Indexes; Machine learning; Presses; Shape; Grey comprehensive evaluation; Grey relational analysis; Relational degree;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location
Qingdao
Print_ISBN
978-1-4244-6526-2
Type
conf
DOI
10.1109/ICMLC.2010.5580518
Filename
5580518
Link To Document