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Knoledge‐Based Systems and Fuzzy Sets in Risk Management
Author(s) -
KANGARI ROOZBEH,
BOYER LEROY T.
Publication year - 1987
Publication title -
computer‐aided civil and infrastructure engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.773
H-Index - 82
eISSN - 1467-8667
pISSN - 1093-9687
DOI - 10.1111/j.1467-8667.1987.tb00233.x
Subject(s) - risk management , risk management plan , risk analysis (engineering) , bankruptcy , risk management information systems , computer science , fuzzy set , project risk management , it risk management , fuzzy logic , contingency , project management , engineering , business , project portfolio management , systems engineering , information system , artificial intelligence , finance , management information systems , electrical engineering , linguistics , philosophy
An integrated microcomputer‐based knowledge system is developed for risk management in construction. The system (Expert‐Risk) applies the concepts of fuzzy set theory to evaluate the overall risk of a project. It is also integrated with various rerlational data bases that provide the system with financial and cost data necessary for bankruptcy and risk analysis. Today's construction industry involves more dynamic and construction industry involves more dynamic and uncertain planning than ever before. without professional risk management, decision makers cannot systematically approach complex problemx. The system provides a more definitive perception of the overall risk of a construction project, and a more rational basis for contingency planning and evaluation. The system allows management to focus on those risk factors which have significant impact on planning.