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

页码：787 / 794

页数：8