There are many factors that can cause the occurrence of the accidents in ports. Different stakeholders may have different concerns regarding such factors. This study mainly focuses on the captains’ perception in order to identify the factors that can affect port navigational safety and analyze their influence using a fuzzy analytical hierarchy process (AHP). This paper applies a fuzzy AHP approach to overcome the difficulties involved in collecting historical data and quantifying experts’ knowledge, experience, and conceptions. Pan (2008) stated that fuzzy AHP is a method capable of handling the inherent subjectivity and ambiguity involved in identifying perceptions in order to extract numbers. In this study, a questionnaire is designed and used to collect the required data from captains with more than 10 years experience in moving ships in Korean ports. To effectively collect the captains’ judgments, linguistic terms are often be used. One realistic way to model linguistic terms is to use fuzzy set theory (Yang et al., 2011 and Yang et al., 2012). In terms of the identification of major influencing factors, pairwise comparisons through an AHP approach are conducted to measure the importance of the influence factors (Promentilla et al., 2006). Combining fuzzy logic and AHP enables the evaluation of Korean port safety from a captain’s perspective in a situation in which uncertainty in data is high.