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Applications of Fuzzy Set Theory for Risk Analysis in Maritime Industry:<br />

A Literature Survey<br />

Ayhan Menteş, İsmail H. Helvacıoğlu<br />

Istanbul Technical University, Faculty of Naval Architecture and Ocean Engineering, Shipbuilding<br />

and Ocean Engineering, Istanbul<br />

Over the past decades the complexity of ship and offshore operations has increased rapidly.<br />

Therefore, efficient and sophisticated quantitative and qualitative safety analysis techniques<br />

have been widely developed and implemented for determination and analysis the risk limits<br />

of marine and offshore industries related problems. Most risk analysis models are based on<br />

quantitative solution techniques which require crisp data. However, in many cases, the available<br />

information related to risk factors is not numerical. Rather this information can be expressed as<br />

words or phrases in a natural language. In addition, imprecision and vagueness on failure rates<br />

may lead to uncertainty in results, thus causing underestimated or overestimated prediction risk<br />

levels. By allowing approximate analysis, fuzzy set theory is an effective tool for characterizing<br />

system safety for marine and offshore industries’ applications. The aim of this paper is to provide<br />

an in-depth presentation of the contributions of fuzzy set theory in the field of marine and<br />

offshore industries, focusing risk analysis for real-world applications. For this purpose, we review<br />

extensively the literature and consolidate the main results on the application of fuzzy set theory to<br />

marine and offshore industries safety problems. Throughout the course of this study, it has been<br />

observed that fuzzy set theory has been intensively applied to marine and offshore industries<br />

safety problems, and has been rapidly grown in the applications. Finally, recommendations on<br />

further studies in marine and offshore safety analysis are suggested.<br />

Keywords: Fuzzy Set Theory, Risk Analysis, Safety Assessment, Maritime Industry<br />

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