Title
Linguistic Z-Number Fuzzy Soft Sets And Its Application On Multiple Attribute Group Decision Making Problems
Abstract
In this study, the concept of linguistic Z-number fuzzy soft set (LZnFSS) is proposed to describe multiple uncertainties in practical decision making problems. LZnFSS combines the concepts of fuzzy soft set, linguistic Z-number, and soft set, which could reflect both of the uncertainty in structure and the uncertainty in detailed evaluations. As an initial idea, the set operations on LZnFSSs are put forward, the properties of such operations are also discussed. With traditional soft set based decision procedure and fuzzy soft set based decision procedure, a novel linguistic Z-number fuzzy soft set based group decision procedure is developed to solve multiattribute group decision making with linguistic Z-numbers. Wherein an extended technique for order preference by similarity to ideal solution is also developed. Finally, a numerical example is shown to illustrate the practicality and effectiveness of the given method.
Year
DOI
Venue
2020
10.1002/int.22202
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
Keywords
Field
DocType
linguistic Z-number, linguistic Z-number fuzzy soft set, multiattribute group decision making, soft set, TOPSIS
Soft set,Artificial intelligence,Z number,TOPSIS,Fuzzy soft set,Machine learning,Mathematics,Group decision-making
Journal
Volume
Issue
ISSN
35
1
0884-8173
Citations 
PageRank 
References 
1
0.35
0
Authors
5
Name
Order
Citations
PageRank
Zhi-fu Tao113012.90
Xi Liu212220.80
Huayou Chen3204.70
Jinpei Liu463.14
Fei Guan510.35