The analysis and judgment of enemy campaign attempt are the basis for determining our own campaign attempt and for formulating and implementing our own campaign plan. They are crucial to the success or failure of the campaign. First, concepts of campaign attempt and analysis of competing hypothesis (ACH) are introduced briefly. Then, it analyzes the shortcomings of the existing ACH and gives the improving method. At the step of sensitivity analysis, a Bayesian network is used for describing relation of evidence and hypothesis at first. Then, technique for order preference by similarity to solution (TOPSIS) is used for denial & deception assessment of evidence. At last, Bayesian networks is used to infer possibility of hypothesis basing on denial & deception possibility of evidence. Finally, taking the Normandy Landing Campaign as an example, the method of this article is used to analyze the landing zones of Allied Forces from the perspective of the Germans, which proves that the improved ACH can be applied more reasonably and effectively to the campaign attempt analysis.