DocumentCode
2071498
Title
The Comprehensive Application Study of GRA and ISM in System Structure Analysis
Author
Guo, Rui-Jun ; Lin, Bo-Liang ; Ai, Xin-Bo ; Wang, Wan-Xiang
Author_Institution
Sch. of Traffic & Transp., Beijing Jiaotong Univ., Beijing, China
fYear
2009
fDate
26-28 Dec. 2009
Firstpage
3
Lastpage
7
Abstract
Interpretative Structural Modeling (ISM) is an effective approach to analyze the complex system structure. The adjacency matrix represents the relations between and among system elements and the system digraph can be drawn by deduction of the reachability matrix. The adjacency matrix is usually built by experts´ experience. Because the process does not take the corresponding data of system elements into account, the adjacency matrix is lack of objectivity and accuracy. In this paper, the adjacency matrix is built using grey relational analysis (GRA). The grey incidence matrix is derived considering the relevant behavioral sequences as referential behavior sequence in turn and the system digraph is drawn using ISM. The paper gives the theoretical deduction and the specific calculation steps of the above approach. The validity of the method is verified by the application of China´s water transport system.
Keywords
directed graphs; grey systems; large-scale systems; matrix algebra; reachability analysis; structural engineering; GRA; ISM; adjacency matrix; complex system structure; comprehensive application study; grey incidence matrix; grey relational analysis; interpretative structural modeling; reachability matrix; system digraph; system structure analysis; Geometry; Information analysis; Information science; Information systems; Mathematical analysis; Quality assessment; Traffic control; Transportation; Uncertainty; Digraph; Grey Incidence Matrix; Grey Relational Analysis; Interpretative Structural Modeling; System Structure;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Engineering (ISISE), 2009 Second International Symposium on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-6325-1
Electronic_ISBN
978-1-4244-6326-8
Type
conf
DOI
10.1109/ISISE.2009.33
Filename
5447235
Link To Document