2018
DOI: 10.1016/j.cie.2017.11.023
|View full text |Cite
|
Sign up to set email alerts
|

Hesitant fuzzy linguistic projection model to multi-criteria decision making for hospital decision support systems

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
12
0

Year Published

2018
2018
2021
2021

Publication Types

Select...
7
3

Relationship

1
9

Authors

Journals

citations
Cited by 64 publications
(12 citation statements)
references
References 32 publications
0
12
0
Order By: Relevance
“…Finally, a practical example for construction engineering project risk assessment was given to show the developed approach. In the future, the application of the 2TLNNs needs to be investigated under uncertain [35][36][37][38][39][40][41][42][43][44][45][46] and fuzzy environments [47][48][49][50][51][52][53][54].…”
Section: Discussionmentioning
confidence: 99%
“…Finally, a practical example for construction engineering project risk assessment was given to show the developed approach. In the future, the application of the 2TLNNs needs to be investigated under uncertain [35][36][37][38][39][40][41][42][43][44][45][46] and fuzzy environments [47][48][49][50][51][52][53][54].…”
Section: Discussionmentioning
confidence: 99%
“…The use of hesitant fuzzy assessments enables the judgments of decision-makers to be more reliable and informative regarding the decision-making process [ 17 ]. Zhang et al [ 18 ], Liang et al [ 19 ], Dong et al [ 20 ], Li et al [ 21 ], Wu et al [ 22 ], Sun et al [ 23 ], Zheng et al [ 24 ], Wu et al [ 25 ], Xiao et al [ 26 ], Wu et al [ 27 ], and Wu et al [ 28 ] are some of the most recent studies.…”
Section: Introductionmentioning
confidence: 99%
“…The decision-matrix is constructed using assessments of decision-makers based on some linguistic variables. In the literature, there have been different ways to define linguistic variables and handle their computational aspects (Liao, Xu, Herrera-Viedma, & Herrera, 2018;Teng, Z. Liu, & P. Liu, 2018;Wu, Xu, Ren, & Liao, 2018;Xu, 2005;Xu & Wang, 2017). Each of these ways has its advantages and disadvantages in modeling of uncertainty.…”
Section: Introductionmentioning
confidence: 99%