A new method of attribute reduction of decision table based on discernibility matrix 一種新的基于區(qū)別矩陣的決策表屬性約簡(jiǎn)方法
Method of attribute reduction of decision table based on the information view of rough sets theory 基于粗糙集信息觀(guān)的決策表屬性約簡(jiǎn)方法
Attributed scattering center comprises more features for sar atr , but because of its high dimensionality , the method of attributed scattering center extraction is more complicated 屬性散射中心包含了更豐富的可用于目標(biāo)分類(lèi)識(shí)別的特征,但同時(shí)由于特征參數(shù)的維數(shù)更高,因此相應(yīng)的特征提取方法更復(fù)雜。
Moreover , a simple effective method of attribute reduction was presented , the main process was to determine the information core , calculate significance of dispensable condition attribute and obtain the relative attribute reduction set 該方法主要包括信息核的求取、可省條件屬性的重要性計(jì)算和相對(duì)屬性約簡(jiǎn)集的確定。
In this strategy , the theory and methods of attribute importance within rough set were applied to define the weight of each feature attribute of the case ; the theory and methods of knowledge reduction was applied to define the index of the case knowledge base 在該策略中,運(yùn)用粗糙集中屬性重要度的理論和方法,確定事例各特征屬性的權(quán)重,運(yùn)用知識(shí)約簡(jiǎn)的理論和方法判斷事例知識(shí)庫(kù)的索引。