摘要
将粗糙集理论引入航材股评价过程,结合信息熵理论,实现对航材股定量打分排序,区分航材股的优劣。针对粗糙集理论无法处理决策属性缺失系统的缺陷,利用信息熵,选取权重值最大的条件属性作为决策属性,完善航材股评价信息系统,拓展粗糙集理论的应用。采用改进的贪心算法离散属性值,约简冗余属性,提升信息系统的运行效率。实例分析表明,该模型可以完成对航材股的评价打分,验证了该模型的可行性与正确性。
The rough set theory is introduced into the evaluation process of air material stocks,and the quantitative grading and ranking of air material stocks is realized by combining with the information entropy theory,which aims to distinguish the importance of air material stocks.In view of the defect that the rough set theory cannot deal with the system of missing decision attribute,the conditional attribute with the largest weight value is selected as the decision attribute by using the information entropy to improve the evaluation information system of air material stocks and expand the application of the rough set theory.The improved greedy algorithm is used to discretize attribute values and reduce redundant attributes to improve the operation efficiency of information system.An example shows that this model can complete the evaluation of air material stocks.Also,the feasibility and correctness of this model are verified.
作者
孙绳山
徐常凯
何亚群
SUN Shengshan;XU Changkai;HE Yaqun(Air Force Logistics Academy,Xuzhou 221000,China)
出处
《信息工程大学学报》
2021年第4期508-512,共5页
Journal of Information Engineering University
基金
科研基金资助项目。
关键词
粗糙集
信息熵
贪心算法
评价
rough set
information entropy
greedy algorithm
appraisal
