| 1. | An attribute reduction algorithm based on conditional entropy
一种基于条件熵的粗糙集属性约简算法 |
| 2. | Rules extraction method of decision tree based on new conditional entropy
基于新的条件熵的决策树规则提取方法 |
| 3. | And weighted infromation entropy and weighted conditional entropy of information system based on set - value function is presented also
还提出了基于一般的集值函数的信息系统加权信息熵和条件熵概念。 |
| 4. | Discuss the generation of test strategy for diagnosis based on information gain maximization and conditional entropy minimization . this approach can be used into the testability analysis and the optimization of test strategy for diagnosis
研究了基于信息增益最大和基于条件熵最小的诊断测试策略生成问题，该方法可用于系统的可测性分析、诊断测试策略的优化等方面。 |
| 5. | 3 . discussing application of entropy in multivariate control chart , firstly , testing whether the correlation structure has changed by means of the mutual information approach . secondly , using approximately approach to discuss two estimators of conditional entropy . finally , establishing corresponding entropy chart
讨论了熵在多变量控制图中的应用，首先利用相互信息量的方法检测相关阵是否变化，然后利用近似的方法讨论了两种条件熵的估计量，建立了相应的熵图。 |
| 6. | Through detailed analysis to information entropy concept of complete information systems , weighted information entropy and weighted conditional entropy of incomplete information system based on limited tolerance relation are studied , which is naturally genealization of rough entropy conept of complete information systems based on equivalence relations
在仔细分析完备信息系统的信息熵概念的本质之后，通过引入权数，研究了基于限制容差关系的不完备信息系统加权信息熵和条件熵问题。 |
