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
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;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-6526-2
DOI :
10.1109/ICMLC.2010.5580518