An attribute reduction algorithm based on conditional entropy 一種基于條件熵的粗糙集屬性約簡(jiǎn)算法
Rules extraction method of decision tree based on new conditional entropy 基于新的條件熵的決策樹(shù)規(guī)則提取方法
And weighted infromation entropy and weighted conditional entropy of information system based on set - value function is presented also 還提出了基于一般的集值函數(shù)的信息系統(tǒng)加權(quán)信息熵和條件熵概念。
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條件熵最小的診斷測(cè)試策略生成問(wèn)題,該方法可用于系統(tǒng)的可測(cè)性分析、診斷測(cè)試策略的優(yōu)化等方面。
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 討論了熵在多變量控制圖中的應(yīng)用,首先利用相互信息量的方法檢測(cè)相關(guān)陣是否變化,然后利用近似的方法討論了兩種條件熵的估計(jì)量,建立了相應(yīng)的熵圖。