Model for Risk Assessment of Project Cost with Interval-valued Intuitionistic Fuzzy Information

The project is in the complicated natural and social environment, which is filled with a lot of uncertainty and the resulting risk often affects the smooth implementation of the project, project urgent need to strengthen risk management. Despite the current domestic and overseas engineering project Risk management theory research has quite high level, project risk analysis and evaluation method has a lot of, but because of the risk analysis technology of the actual application of the system not to summary, so in the face of specific project risk, often choose not appropriate Analysis technology to implement risk analysis and evaluation. The end result is to project risk analysis and understand enough, increase the difficulty of the risk management, a direct impact on the construction of engineering quality, schedule and cost objectives, damage the benefit of the project. In this paper, we used induced interval-valued intuitionistic fuzzy Einstein ordered weighted average (I-IVIFEOWA) operator for multiple attribute decision making problems to deal with the risk assessment of project cost with incompletely known weights information. We developed a multiple attribute decision making method to projects in uncertain linguistic setting, by which the attribute weights can be determined. We utilize the I-IVIFEOWA operator to aggregate the interval-valued intuitionistic fuzzy information corresponding to each alternative, and then rank the alternatives. Finally, an example with the risk assessment of project cost is given.