Applying fuzzy relation equations to threat analysis

Abstract

Targeting behavior of vehicles in the battlefield (target analysis) is one of the most critical tasks in computer generated force (CGF) systems. This is simply because of many complex and ambiguous factors that can affect the targeting behavior of such systems in the real world. There have been many approaches including using fuzzy set theory for target analysis. Target detection, and threat analysis and selection are considered the main constituents of target analysis and selection. We introduce a model to illustrate how to apply a fuzzy relational equation algorithm to threat analysis in the context of computer generated force systems such as ModSAF (Modular Semi Automated Forces). Using fuzzy relational equations, the proposed algorithm generates data from the historic information and its earlier runs. Therefore, each new outcome of the algorithm is more realistic and more accurate than the earlier one.