A Novel Approach to Fuzzy Soft Set-Based Group Decision-Making

被引：8
|
作者：
Feng, Qinrong [1 ]
Guo, Xiao [2 ]
机构：
[1] Shanxi Normal Univ, Sch Math & Comp Sci, Linfen 041004, Shanxi, Peoples R China
[2] Shanxi Technol & Business Coll, Comp & Informat Engn Acad, Taiyuan 030006, Shanxi, Peoples R China
来源：
COMPLEXITY | 2018年
关键词：
GREY RELATIONAL ANALYSIS; DEMPSTER-SHAFER THEORY; PREFERENCE RELATIONS; ALGORITHM; CONSENSUS;
D O I：
10.1155/2018/2501489
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
There are many uncertain problems in practical life which need decision-making with soft sets and fuzzy soft sets. The purpose of this paper is to develop an approach to effectively solve the group decision-making problem based on fuzzy soft sets. Firstly, we present an adjustable approach to solve the decision-making problems based on fuzzy soft sets. Then, we introduce knowledge measure and divergence degree based on a-similarity relation to determine the experts' weights. Further, we develop an effective group decision-making approach with unknown experts' weights. Finally, sensitivity analysis about the parameters and comparison analysis with other existing methods are given.
引用
收藏
页数：12
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