Construction Cost and Quality Measurement Using Fuzzy Multi-Attribute Utility Theory and Z-Number

The Earned Value Management (EVM) has been extensively employed for analyzing the schedule and cost performance indexes. The effect of risk factors on the project has been ignored in previous project. In this paper, a well-organized project control and monitoring system has been developed. Schedule Performance Index (SPI), the Cost Performance Index (CPI) and Risk Performance Index (RPI) are calculated based on z-number.Multi-Attribute Utility Theory (MAUT) and Multi-Objective Linear Programming (MOLP) under fuzzy condition are utilized. The signification risks associated with construction projects need special attention from contractors to analyze and manage the risks. Risk management is the art and science of identifying, analyzing and responding to risk factors throughout the life cycle of the project and in the best interest of its objectives. In proposed model, we firstly identify risks in the construction projects and suitable criteria for evaluate risks and then structure the proposed AHP model. Finally we measure the significant risks in construction projects (SRCP) based on the project's objectives by using fuzzy analytical hierarchy process (FAHP) technique