An OW-FCE Model Based on MDE Algorithm for Evaluating Integrated Navigation System

The traditional fuzzy comprehensive evaluation (FCE) based on Analytic Hierarchy Process (AHP) has the problem of the applicability of the dimensionless method and the subjectivity of the weighting method, which lead to the inaccurate and unreasonable of evaluation results. An optimization weight (OW) and FCE (OW-FCE) model based on modified differential evolution (MDE) algorithm is proposed. For the navigation system, aiming at the problem that the conversion index of traditional dimensionless method are inaccurate, the linear extremum method and the nonlinear exponential function method are utilized to derive a hybrid dimensionless method of navigation system (NSHD method). When multi-expert weights are adopted to solve the subjectivity of weights, there is uncertainty in each weight, and the weights and OW need to be consistent, which become a difficult problem to solve OW. The optimization model of combination coefficients for OW is established, and the optimal coefficients are solved by MDE. The optimal coefficients and multi-expert weights are used to calculate OW. Taking three sets of Inertial Navigation System/Global Navigation Satellite System (INS/GNSS) integrated navigation systems as an example, the simulation and evaluation have been carried out. The results show that the proposed model is feasible and effective, which can distinguish the system differences and provide technical support for decision makers.