朴素贝叶斯及其在装备保障能力评估中的应用  

NAVE BAYES AND ITS APPLICATION IN EQUIPMENT SUPPORT CAPABILITY ASSESSMENT

作　　者：彭善国[1] 王希武[1] 王寅龙[1] 钟启艮[2] 

机构地区：[1]军械工程学院计算机工程系,河北石家庄050003 [2]军械工程学院装备指挥与管理系,河北石家庄050003

出　　处：《计算机应用与软件》2012年第6期222-224,共3页Computer Applications and Software

摘　　要：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。It is important for both the formation and maintenance of Chinese army equipment fighting power and command decision to all-roundly,objectively and precisely carry out equipment support capability assessment.According to the independence principle in present equipment support capability assessment index system,combining Nave Bayes independence assumption,the authors propose to apply weighted Nave 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 values of all attributes and constructs mature classifiers for future calling.Experiment illustrates its feasibility.It provides references to equipment support capability assessment.

关 键 词：朴素贝叶斯 加权朴素贝叶斯 装备保障能力 评估指标体系 

分 类 号：TP206[自动化与计算机技术—检测技术与自动化装置]