Situation assessment method based on Bayesian network and intuitionistic fuzzy reasoning
Wang Bao-shu · Systems engineering and electronics · 2009
By combining the theory of intuitionistic fuzzy reasoning(IFR) and Bayesian network(BN),situation assessment(SA) method based on IFR and BN is proposed.Firstly,with the analysis of the properties and vulnerabilities of BN,a model based on intuitionistic fuzzy function(IFF) and BN is established;secondly,IFF is tested to be transmitted in BN;finally,examples are given to verify the techniques for SA based on BN and IFR.The simulated results show that while the uncertain degree of evidence nodes is bigger,the normal BN can not get the right result but the techniques overcome this disadvantage and can get the right.