计算机工程与应用 ›› 2016, Vol. 52 ›› Issue (24): 91-94.

• 大数据与云计算 • 上一篇    下一篇

基于软区分矩阵的模糊软集决策方法及其应用

杨  勇,刘亭亭   

  1. 西北师范大学 计算机科学与工程学院,兰州 730070
  • 出版日期:2016-12-15 发布日期:2016-12-20

Approach of fuzzy soft set decision making based on soft discernibility matrix and its application

YANG Yong, LIU Tingting   

  1. College of Computer Science and Engineering, Northwest Normal University, Lanzhou 730070, China
  • Online:2016-12-15 Published:2016-12-20

摘要: 通过在模糊软集中引入水平软集,用软区分矩阵来处理决策问题。首先,利用模糊软集的水平软集,将模糊软集转化为经典软集。其次,在软集中引入软区分矩阵的概念,提出了一种基于软区分矩阵解决模糊软集的新算法来处理决策问题。最后,通过实例说明了该算法的可行性。

关键词: 模糊软集, 水平软集, 软区分矩阵, 决策

Abstract: By introducing level soft sets into fuzzy soft sets, the soft discernibility matrix can be used to deal with decision making problems. First, by using level soft sets in fuzzy soft sets, the fuzzy soft sets can be transformed into crisp soft sets. Then, the concept of soft discernibility matrix is used in soft sets. An algorithm based on soft discernibility matrix is proposed to solve the problems of decision making. Finally, an example is given to show the feasibility of the method.

Key words: fuzzy soft set, level soft set, soft discernibility matrix, decision making