A New Criterion for Soft Set Based Decision Making Problems under Incomplete Information

被引：56
作者：
Alcantud, Jose Carlos R. [1 ,2 ]
Santos-Garcia, Gustavo [2 ]
机构：
[1] Univ Salamanca, BORDA Res Unit, E-37007 Salamanca, Spain
[2] Univ Salamanca, Multidisciplinary Inst Enterprise IME, E-37007 Salamanca, Spain
来源：
INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS | 2017年 / 10卷 / 01期
关键词：
Soft set; Incomplete soft set; Choice value; Decision making; DATA FILLING APPROACH; HESITANT FUZZY-SETS;
D O I：
10.2991/ijcis.2017.10.1.27
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We put forward a completely redesigned approach to soft set based decision making problems under incomplete information. An algorithmic solution is proposed and compared with previous approaches in the literature. The computational performance of our algorithm is critically analyzed by an experimental study.
引用
收藏
页码：394 / 404
页数：11
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