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Article . 2014
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The application of fuzzy delphi method (FDM) and fuzzy analytic hierarchy process (FAHP) for evaluating marine casualties

Authors: Moradi, A.; Etebarian, A.; Soltani, I.;

The application of fuzzy delphi method (FDM) and fuzzy analytic hierarchy process (FAHP) for evaluating marine casualties

Abstract

Marine accidents, particularly those that involve pollution and large fatalities, bring into question the safety of shipping and the quality of ships and their crews. Whether or not such questions are justified, it is marine accidents that provide a poor image of the industry, which attract considerable attention. Incidents that particularly attract attention are those causing loss of life, pollution of the environment and the loss of ship and or cargo. Usually, People have a tendency to focus on the consequences of an accident rather than its root causes, Kristiansen S, (2005), so MCDM could improve to find the root cause elements by providing more precise decision parameters. Due to the complexity of Marine accident investigation, this study aims to provide a systematic approach to determine the degree of most influence parameters (cause and effect) in accident occurrence, in order to improve marine safety in direction of Good Governance; in the study two phase procedures are proposed. The first stage utilizes Fuzzy Delphi Method to obtain the critical factors of the Marine Accident Investigation by interviewing the related connoisseurs. In the second stage, Fuzzy Analytic Hierarchy Process is applied to pair fuzzy numbers as the measurable indices and finally to rank degree of each influence criterion within accident investigation.

Keywords

Marine Accident, Multiple Decison Making, Iran, Oceanography, Accident Investigation, Fuzzy Decision Making

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green