2012
DOI: 10.1016/j.eswa.2011.09.016
|View full text |Cite
|
Sign up to set email alerts
|

Fuzzy decision support system for spread mooring system selection

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
6
0

Year Published

2013
2013
2021
2021

Publication Types

Select...
5
2

Relationship

0
7

Authors

Journals

citations
Cited by 25 publications
(6 citation statements)
references
References 34 publications
0
6
0
Order By: Relevance
“…Karahalios et al [15] used the fuzzy-AHP method to develop a System of Hierarchical Scorecards (SHS) that can assist regulators in evaluating any proposed and/or existing maritime regulations. [16] applied fuzzy-AHP method in analyzing the structure of the mooring system selection problem. In the works of [17], fuzzy-AHP method is applied to find the importance degree of each criterion as the measurable indices of regenerative technologies.…”
Section: Methodsmentioning
confidence: 99%
See 3 more Smart Citations
“…Karahalios et al [15] used the fuzzy-AHP method to develop a System of Hierarchical Scorecards (SHS) that can assist regulators in evaluating any proposed and/or existing maritime regulations. [16] applied fuzzy-AHP method in analyzing the structure of the mooring system selection problem. In the works of [17], fuzzy-AHP method is applied to find the importance degree of each criterion as the measurable indices of regenerative technologies.…”
Section: Methodsmentioning
confidence: 99%
“…The AHP method was developed by Saaty in 1977 to address multi-criteria decision making problems [28]. The usefulness of the technique has been evidenced in various studies [15,16,[29][30][31][32][33][34][35][36][37][38][39]. The mechanism of the AHP technique can be used to facilitate ranking of parameters in decision making problems.…”
Section: Ahp Techniquementioning
confidence: 99%
See 2 more Smart Citations
“…FAHP is implemented in steps (Mentes, Helvacioglu 2012;Wang et al 2006). First, assign linguistic terms to pairwise comparisons by asking, which is the more important of each two dimensions, as in the following matrix A (Sun 2010 …”
Section: Fuzzy Ahpmentioning
confidence: 99%