Research on Combat Effectiveness Evaluation of Radar EW System Based on Bayesian Network

Abstract

Radar EW system combat effectiveness evaluation is a essential link to Radar system Demonstration, mainly give service to selection, optimization and key factors analysis of Weapon equipment scheme. In this paper, we introduce the Bayesian network model into the area of Radar EW system combat effectiveness evaluation and put forward the concept of combat effectiveness evaluation model based on Bayesian network. The ability to express complex relationship, the ability to express the uncertainty of probability, and the reasoning functions. By learning from Expertise and Simulation data, excavating the hidden knowledge included in both of them, we can build the combat efficiency Analysis model, and then carry out efficient analysis.

A comprehensive G-Lz-ADC effectiveness evaluation model for the single communication satellite system in the context of poor information

“…Otay et al (2017) proposed a multi-expert fuzzy evaluation method integrating DEA and intuitionistic fuzzy hierarchy analysis (IF-AHP) for evaluating the effectiveness of healthcare organizations. The final type is other methods, including Bayesian networks (Zheng, 2011), finite-state machines (Nan et al , 2020), etc.…”

“…For other evaluation methods, they are also data-based. In Zheng (2011), hidden information is mined through the learning of expert knowledge and simulation data to build an operational effectiveness analysis model. However, for some MSSs, it is difficult to obtain the exact probability of each performance level of the system and being at each performance level due to the lack of sufficient data; thus, it is necessary to construct a multi-state system effectiveness evaluation model with uncertain information.…”