朴素贝叶斯及其在装备保障能力评估中的应用

摘要

It is important for both the formation and maintenance of Chinese army equipment fighting power and command decision to ail-roundly, objectively and precisely carry out equipment support capability assessment. According to the independence principle in present equipment support capability assessment index system, combining Naive Bayes independence assumption, the authors propose to apply weighted Narve Bayes to equipment support capability assessment study. The study regards support capability assessment values as class variables and index factors as attribute variables, through sample training, obtains the weighted valueftrf all attributes and constructs mature classifiers for future calling. Experiment illustrates its feasibility. It provides references to equipment suppor capability assessment.%全面、客观,准确地进行装备保障能力评估,对于我军装备战斗力形成与保持及指挥决策有着重要意义.针对现有装备保障能力评估指标体系中独立性原则,结合朴素贝叶斯独立性假设,提出将加权朴素贝叶斯应用于装备保障能力评估中的研究.以保障能力评估值为类变量,以指标要素为属性变量,通过样本训练,得到各属性加权值,构造出成熟的分类器以供调用.通过实验,证明其可行性,为装备保障能力评估提供参考.