Focusing on signed digraph(SDG)models holding inaccurate information to induce spurious solution

causal ordering analysis is introduced to resolve causal dependent relation of system variables. The hierarchical causal dependent relation among variables in system equations is revealed by complete subsets iteration of self-contained structure of equilibrium structure and integral chain reduction in canonical form of dynamic structure. The causal dependent effect among variables is obtained by coefficients identification. SDG models are then constructed for linear systems of three forms of equilibrium structure

dynamic structure and mixed structure based on causal ordering analysis. The experimental instance indicates that in the SDG model constructed the spurious information is removed and the accuracy of SDG model is improved effectively.