A fuzzy approach to constuction project risk assessment and analysis: construction project risk management system

Abstract The construction industry is plagued by risk, and poor performance has often been the result. Although risk management techniques have been applied, the lack of a formalised approach has produced inconsistent results. In this paper, a hierarchical risk breakdown structure is described to represent a formal model for qualitative risk assessment. The relationships between risk factors, risks, and their consequences are represented on case and effect diagrams. Risk descriptions and their consequences can be defined using descriptive linguistic variables. Using fuzzy approximation and composition, the relationships between risk sources and the consequences on project performance measures can be identified and quantified consistently.

[1]  John Durkin,et al.  Expert systems - design and development , 1994 .

[2]  Joseph H. M. Tah,et al.  Risk interdependencies and natural language computations , 1996 .

[3]  Jong H. Ock,et al.  Pricing construction risk: fuzzy set application , 1993 .

[4]  Chris Chapman,et al.  Project risk analysis and management - PRAM the generic process , 1997 .

[5]  Kendall Scott,et al.  UML distilled - applying the standard object modeling language , 1997 .

[6]  Karlos Artto,et al.  Managing Risks in Projects , 1998 .

[7]  Joseph H. M. Tah,et al.  Towards a framework for project risk knowledge management in the construction supply chain , 2001 .

[8]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[9]  Bart Kosko,et al.  Neural networks and fuzzy systems , 1998 .

[10]  Timothy J. Ross,et al.  A Fuzzy Multi-objective Approach to Risk Management , 1995 .

[11]  Svetlana. Cicmil,et al.  RAMP: Risk Analysis and Management for Projects , 1999 .

[12]  J. Perry,et al.  RISK AND ITS MANAGEMENT IN CONSTRUCTION PROJECTS. , 1985 .

[13]  A. Thorpe,et al.  Contractor project risks contingency allocation using linguistic approximation , 1993 .

[14]  Timothy J. Ross,et al.  A Fuzzy Logic Paradigm for Fault Trees and Event Trees in Risk Assessment , 1996 .

[15]  J. P. Mohsen.  Computing in civil engineering : proceedings of the Second Congress held in conjunction with A/E/C Systems '95 , 1995 .

[16]  Roger Flanagan,et al.  Risk Management and Construction , 1993 .

[17]  Roozbeh Kangari.  Construction risk management , 1988 .

[18]  P. Thompson,et al.  Engineering Construction Risks - A Guide to Project Risk Analysis and Risk Management , 1994 .

[19]  Earl Cox,et al.  The fuzzy systems handbook , 1994 .

[20]  N. Rescher.  Many Valued Logic , 1969 .