Journal of Risk Analysis and Crisis Response

Volume 7, Issue 1, April 2017, Pages 3 - 12

Multicriteria Decision Aid Applications to Support Risk Decisions in the Marine Environment: Locating Suitable Transshipment Areas

Authors
Dimitrios I. Stavrou, Nikolaos P. Ventikos
Corresponding Author
Dimitrios I. Stavrou
Received 13 February 2017, Accepted 26 February 2017, Available Online 3 April 2017.
DOI
10.2991/jrarc.2017.7.1.1How to use a DOI?
Keywords
Multicriteria decision aid models, ship-to-ship transfer of cargo, aggregation–disaggregation methods, global criterion model.
Abstract

The aim of this paper is to develop an MCDA model to support decision makers in the marine environment. The UTASTAR method is employed for the selection of the best area for ship-to-ship transfer of cargo. The method relies on the hypothesis that both the actions and the corresponding criteria interact with each other over time, constructing and formulizing the decision aid model. The use of real data for the tuning of the model parameters may lead to the optimal compatibility between model and decision-maker cognition.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
Journal of Risk Analysis and Crisis Response
Volume-Issue
7 - 1
Pages
3 - 12
Publication Date
2017/04/03
ISSN (Online)
2210-8505
ISSN (Print)
2210-8491
DOI
10.2991/jrarc.2017.7.1.1How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Dimitrios I. Stavrou
AU  - Nikolaos P. Ventikos
PY  - 2017
DA  - 2017/04/03
TI  - Multicriteria Decision Aid Applications to Support Risk Decisions in the Marine Environment: Locating Suitable Transshipment Areas
JO  - Journal of Risk Analysis and Crisis Response
SP  - 3
EP  - 12
VL  - 7
IS  - 1
SN  - 2210-8505
UR  - https://doi.org/10.2991/jrarc.2017.7.1.1
DO  - 10.2991/jrarc.2017.7.1.1
ID  - Stavrou2017
ER  -