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Group Decision Procedure to Model the Dependency Structure of Complex Systems: Framework and Case Study for Critical Infrastructures
Author(s) -
Moon Jukrin,
Lee Dongoo,
Lee Taesik,
Ahn Jaemyung,
Shin Jindong,
Yoon Kyungho,
Choi Dongsik
Publication year - 2015
Publication title -
systems engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.474
H-Index - 50
eISSN - 1520-6858
pISSN - 1098-1241
DOI - 10.1002/sys.21306
Subject(s) - dependency (uml) , element (criminal law) , computer science , design structure matrix , operations research , group (periodic table) , data mining , management science , engineering , artificial intelligence , systems engineering , political science , law , chemistry , organic chemistry
This paper proposes a group decision framework to model the dependency structure of a complex system based on expert surveys. The proposed framework is designed to systematically populate a dependency matrix whose entry indicates the degree that its row element is influenced by its column element. The degree of dependency is assessed based on two different perspectives—of the influencing element and of the influenced element—and the assessments with the two perspectives are separately compiled and compared in the initial round survey. Entries with large assessment gaps are classified as discussion items and a group decision procedure to reduce the gaps in these items is applied in the consensus round survey. A case study for dependency modeling of critical infrastructures of South Korea was conducted using the proposed framework and its effectiveness was demonstrated. The analysis on the results of the case study discovered an insight that the opinions from the influenced elements are more convincing and respected in the consensus round than those from the influencing elements.