Weighted fuzzy soft multiset and decision-making

被引：10
作者：
Das, Ajoy Kanti [1 ]
机构：
[1] Iswar Chandra Vidyasagar, Dept Math, Belonia 799155, Tripura, India
来源：
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS | 2018年 / 9卷 / 05期
关键词：
Decision-making; Soft set; Level soft set; Fuzzy soft multiset; Weighted fuzzy soft multi set; Weighted fuzzy soft multiset part; SET-THEORETIC APPROACH; BAGS;
D O I：
10.1007/s13042-016-0607-y
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Fuzzy soft multiset (FSMS) is a substantial and important fuzzy generalization of soft set and multiset (also called bag). In this paper, we have presented the idea of weighted fuzzy soft multiset (WFSMS) as a generalization of FSMS and its basic properties are to be studied. Also, we introduce a new adjustable approach to WFSMS based decision-making, for solving decision-making in an uncertain situation. The feasibility of our proposed WFSMS based decision-making procedure in practical application is read by a mathematical example.
引用
收藏
页码：787 / 794
页数：8
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