Dynamic Air Target Threat Assessment Based on Interval-Valued Intuitionistic Fuzzy Sets, Game Theory, and Evidential Reasoning Methodology

In order to reduce the uncertainty of target threat assessment results and improve exact in complicated changeable air combat environment, a novel method based on combination interval-valued intuitionistic fuzzy sets (IVIFSs), game theory, evidential reasoning methodology is proposed this paper. First, imprecise information battlefield expressed by IVIFS. Second, optimal index weight determined interval entropy theory. And time series calculated inverse Poisson distribution method. Then, evaluation at different times dynamically fused through an algorithm. Finally, accuracy function applied obtain ranking all targets. A case targets provided demonstrate implementation process Simulation experiments show that rapidly evolving algorithm can effectively results. It provides us with useful way for sets, methodology.