Paper Info
Title
The Generalized Dice Similarity Measures for Probabilistic Uncertain Linguistic MAGDM and Its Application to Location Planning of Electric Vehicle Charging Stations
Abstract
The location of the electric vehicle charging station (EVCS) is the important link in the construction of the EVCS. The optimal location of the electric vehicle directly affects the operating efficiency of the charging station and the satisfaction of the electric vehicle user, site selection play an important part throughout whole life cycle, which is deemed to be multiple attribute group decision making (MAGDM) issue involving many experts and many conflicting attributes. In practical MAGDM issues, the information of uncertain and fuzzy cognitive decision is well-depicted by uncertain linguistic term sets (ULTSs). These ULTSs could be simply shifted into the probabilistic uncertain linguistic sets (PULTSs). In such paper, we design some novel probabilistic uncertain linguistic weighted Dice similarity measures (PULWDSM) and the probabilistic uncertain linguistic weighted generalized Dice similarity measures (PULWGDSM). Subsequently, the PULWGDSM-based MAGDM methods are presented under PULTSs. In the end, a practical case which concerns about the location planning of electric vehicle charging stations is offered to demonstrate the proposed PULWGDSM’s applicability and advantages.
Year
DOI
Venue
2022
10.1007/s40815-021-01084-z
International Journal of Fuzzy Systems
Keywords
DocType
Volume
Multiple attribute group decision making, Probabilistic uncertain linguistic term sets (PULTSs), Dice similarity measures (DSM), Generalized Dice similarity measures (GDSM), Site selection, Electric vehicle charging stations
Journal
24
Issue
ISSN
Citations 
2
1562-2479
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Gui-Wu Wei116319.00
Rui Lin200.34
Jianping Lu323.74
Jiang Wu400.34
Cun Wei5510.52