基于灰熵绝对关联分析在嵌入式计算机性能评价中的应用  

New and Better Algorithm for Evaluation of Overall Performance of Embedded Computer through Combining Grey Entropy with Absolute Correlation Degree

作　　者：周延年[1] 朱怡安[1] 

机构地区：[1]西北工业大学计算机学院,西安710072

出　　处：《计算机科学》2011年第11期206-207,230,共3页Computer Science

基　　金：国家自然科学基金(60573101)资助

摘　　要：为了克服传统的灰熵关联度不具有唯一性和对称性等问题,建立了一种新的评价模型——灰熵绝对关联分析模型,并将该模型用于嵌入式计算机性能评价中。该算法主要是将灰熵理论与灰色绝对关联度相结合,保证了灰熵绝对关联度具有唯一性和对称性,有效地避免了误判的可能性。算例表明,该算法提高了嵌入式计算机性能评估的有效性和准确性,为嵌入式计算机性能综合评价提供了新方法。Conventional gray entropy correlation degree suffers from the non-uniqueness and asymmetry.We now proposed a novel evaluation model and applied the model to evaluate the performance evaluation of embedded computer.The algorithm combining the gray entropy theory with gray absolute correlation degree is to guarantee that the gray entropy absolute correlation degree has unique and symmetry,which can effectively avoid the miscarriage of justice for performance of embedded computer.A numerical example shows that the algorithm improves the effectiveness and accuracy of the performance evaluation of embedded computer,and provides a way to evaluate the comprehensive performance of embedded computer.

关 键 词：灰色关联分析 灰熵关联度 绝对关联度 嵌入式计算机 性能评价 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]