2018
DOI: 10.1080/01605682.2018.1441638
|View full text |Cite
|
Sign up to set email alerts
|

Single criterion vs. multi-criteria optimal stopping methods for portfolio management

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Year Published

2019
2019
2022
2022

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(3 citation statements)
references
References 30 publications
0
3
0
Order By: Relevance
“…Based on the literature, different methods have been used for selecting projects. The five most popular are single-criterion decision analysis [8], multi-criteria decision-making (MCDM) [9,10], cost-benefit analysis (CBA) [11], SWOT techniques [12], data envelopment analysis (DEA) [13]. Although, in the literature MCDM is used synonymously with multi-criteria analysis (MCA) and multi criteria decision analysis (MCDA), in this study MCDM will be used.…”
Section: Overview Of Project Selection Techniquesmentioning
confidence: 99%
See 1 more Smart Citation
“…Based on the literature, different methods have been used for selecting projects. The five most popular are single-criterion decision analysis [8], multi-criteria decision-making (MCDM) [9,10], cost-benefit analysis (CBA) [11], SWOT techniques [12], data envelopment analysis (DEA) [13]. Although, in the literature MCDM is used synonymously with multi-criteria analysis (MCA) and multi criteria decision analysis (MCDA), in this study MCDM will be used.…”
Section: Overview Of Project Selection Techniquesmentioning
confidence: 99%
“…Decision-making techniques model complex preferences about projects, products, services, or anything that requires a choice to be made based on some criteria. The choice could be made on a single criterion, often called single-criterion decision analysis [8] or many criteria, called multi-criteria decision-making. In the latter case, it is possible the criteria on which to base judgments can be conflicting.…”
Section: Single Criterion Versus Mcdmmentioning
confidence: 99%
“…The complete data connectivity is obtained by the optimal stopping theory. Additionally, Liu et al [17] recommend other routing-forwarding algorithm that is known as FCNS (A fuzzy routing-forwarding algorithm exploiting comprehensive node similarity), where fuzzy inference logic is utilized to evaluate the transmission preference of the node and message carriers select a suitable relay node from its neighbors via the feedback mechanism [31]. Li et al [20] present a social-aware node mobile trajectory prediction algorithm for opportunistic networks, in which a 1-order Markov model [30] is adopted to update the mobile location of the nodes in the networks and the accuracy of the state prediction is enhanced by the state transition matrix from Markov model.…”
Section: The Existing Community-aware Routing Approaches In Opportunimentioning
confidence: 99%