Risk assessment software information and control systems for high-risk industrial enterprises in terms of interval of initial data vagueness

Abstract

 Provides an overview of the methods and techniques of soft computing for risk assessment in software development information and control systems for highrisk industrial enterprises. To solve this problem the authors propose an approach based on the comparison of different variants of software development with use of interval arithmetic. The criterion of selecting the most appropriate options for creating software is the total time spent to create alternatives. The proposed approach allows to increase the validity of the decision on the possibility of implementation of a project to create software information and control systems and to reduce the risk of an unsuccessful completion.