计算机科学与应用

Vol.2 No.5 (December 2012)

基于粗糙集与模糊集理论的图书馆最优选书算法
An Optimal Algorithm of Selection Books in Library Based on Rough Set and Fuzzy Set

 

作者:

赵利萍 :长沙理工大学图书馆

刘文军 :长沙理工大学数学与计算科学学院

 

关键词:

粗糙集相似矩阵模糊集最优方案Rough Set Similarity Matrix Fuzzy Set Optimal Program

 

摘要:

本文将粗糙集理论与模糊集理论结合起来给出一种图书馆最优选书算法。该算法首先从已知数据的初始信息系统出发计算各选书方案之间的相似度,从而构造相似矩阵然后根据相似矩阵的传递闭包对各方案进行聚类,并根据粗糙集理论求各属性重要性最后利用加权综合的思想及最小距离方法选择最优买书方案。

Combining rough set and fuzzy set theory, an optimal decision algorithm of library to select books is put forward. During this algorithm, firstly, we construct the similarity matrix from the original information system; secondly, we classify all the programs according to fuzzy clustering; thirdly, an algorithm to choose the optimal program is put forward according to the minimum distance of weighted relative deviation.

文章引用:

赵利萍 , 刘文军 (2012) 基于粗糙集与模糊集理论的图书馆最优选书算法。 计算机科学与应用, 2, 271-275. doi: 10.12677/CSA.2012.25048

 

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