Linguistic Analysis of Risk in Project Planning

by Roozbeh Kangari, (M.ASCE), Georgia Inst of Technology, Atlanta, United States,
Moataz Bakheet, (M.ASCE), Georgia Inst of Technology, Atlanta, United States,



Document Type: Proceeding Paper

Part of: Computing in Civil Engineering

Abstract:

Construction risk analysis models are mainly based on quantitative techniques which require numerical data. However, in many cases, the available information related to uncertainty factors in a construction project is not numerical. Rather this information is expressed as words or phrases in a natural language. These words or phrases are termed linguistic variables and can be provided by practitioners in the construction industry. This paper attempts to establish the basic feasibility of using linguistics in construction risk analysis by fuzzy set theory.



Subject Headings: Risk management | Construction management | Quantitative analysis | Data processing | Information management | Fuzzy sets | Construction methods | Model analysis | Oregon | United States | North America

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