Framework for a Concurrent Fuzzy System for
Risk Analysis in Construction
Corresponding Author: El-Diraby, Tamer
Author(s): El-Diraby, T.E.(* &+), Mohieldin, Y.A. (*), and Basha I.A.(*)
Organisation(s): (*) Construction Engineering Department, Zagazig University (Egypt), (+) University of Texas, Austin (USA)
Several systems have been developed for assessing/analyzing risks in the construction industry. The majority of them are tailored toward a specific situation, activity, or, in some cases, certain company conditions. Lack of compatibility among these systems has dimensioned their benefits. In addition, most of these systems do not allow concurrent input from several users, something that is usually needed in several situations. This paper presents an object oriented framework designed to act as a core for further specific risk analysis systems. The system has five major modules: user interface, user analysis, input analysis, fuzzification, and thread modules. By creating instances of these modules, systems tailored for specific purpose can be developed. Having the same root and the same data structures and interfaces, such systems will be compatible. In the proposed framework, a risk issue is projected as the combination of several smaller risky elements. Each risk element is presented in five dimensions: possibility, probability, importance, dependency, and inheritance. Elements are then arranged into a series of risk threads whose combined effect produces the final output. Different concurrent users can collaborate in assessing different threads.