DocumentCode :
447375
Title :
The Hierarchic Grey Incidence Analysis Model With Fixed Weights and Its Application to a Regional Scientific-technical System
Author :
Bing-jun, Li ; Si-Feng, Liu ; Bin, Liu
Author_Institution :
Coll. of Inf. & Manage. Sci., Henan Agric. Univ., Zhengzhou
Volume :
2
fYear :
2005
fDate :
12-12 Oct. 2005
Firstpage :
1097
Lastpage :
1102
Abstract :
The grey incidence analysis (GIA) is one of the most important methods for realizing system analysis. In order to conquer the limitations of the existing GIA model, which can be effectively applied to the simple system with one-hierarchy correlation factors and one main behavior character only, not to the complex system with multi-hierarchy correlation factors and multi behavior characters, the weighted synthetic method of calculating abstract incidence degrees between the system behavioral characteristics and correlative factors in different hierarchies is proposed, then the hierarchic grey incidence analysis (HGIA) model with full consideration to the difference of different character importance, and to the relationship between factors in different hierarchies, is established. The effectiveness and application of the HGIA model are tested by the scientific-technological system of Jiangsu province as a positive example. The depth and the range of the application of GIA are developed
Keywords :
correlation theory; grey systems; large-scale systems; Jiangsu regional scientific-technical system; complex system; hierarchic grey incidence analysis model; multi-hierarchy correlation factor; multibehavior characteristics; Analysis of variance; Distributed computing; Educational institutions; Information analysis; Information management; Principal component analysis; Regression analysis; Statistical analysis; Statistical distributions; System testing; grey incidence analysis; grey system; model; multi-hierarchy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2005 IEEE International Conference on
Conference_Location :
Waikoloa, HI
Print_ISBN :
0-7803-9298-1
Type :
conf
DOI :
10.1109/ICSMC.2005.1571292
Filename :
1571292
Link To Document :
بازگشت