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The pilot mission assignment problem is addressed to improve mission efficiency, with low level of accident risk. In this paper, an integrated framework for the risk management of pilot mission assignment is presented, which can be applied in Korean army helicopter units, using the IDEA (Imprecise Data Envelopment Analysis) method. The risks due to pilots, missions and helicopters are evaluated based on imprecise data, and the assignment of pilots to missions and helicopters is performed using goal programming with risk scores. The process is designed to obtain smaller variances in the risk evaluation based on the interval bounded data so that it can be combined with the AHP (Analytic Hierarchy Process). These numerical experiments provide reasonable solutions to the problem of risk management of pilot mission assignment. Significance: The suggested framework provides an efficient risk management as applied in the resource allocation in consideration of the risk expectation and variance as well. It is expected that this robust procedure for the resource allocation using the mathematical optimization may provide more confident to the customer during its application in the area of risk management. The approach addressed in the paper is new and sophisticated in the sense that the risk evaluation and risk based allocation adopted the IDEA method and mathematical programming using history data. [ABSTRACT FROM AUTHOR]