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 :
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