Seaport Network Efficiency Measurement Using Triangular and Trapezoidal Fuzzy Data Envelopment Analyses with Liner Shipping Connectivity Index Output

Seaport network efficiency is very crucial for global maritime economic trades and growth. In this work, data of three years (2018–2020) with input variables (time in port, age vessels, size cargo carrying capacity vessels) output (Liner Shipping Connectivity Index (LSCI) Gross Domestic Product (GDP)) are collected. Few screening tests performed to ensure the fit further analyses. Since none existing studies has ever considered LSCI as an variable, main purpose study measure seaport based on using envelopment analysis (DEA), both classical fuzzy. fuzzy DEA, triangular number (TrFN) trapezoidal (TpFN) used construct sets scores DEA. The comparison between DEA (TrFDEA) shows range differences results ranges from −0.0274 0.0105, while (TpFDEA) yields within −0.0307 0.0106. Using relative reference, it revealed that TpFDEA smaller standard deviations variances than TrFDEA 2018 2019, whereas opposites hold true during pandemic year 2020. With use numbers, uncertainty levels measurement can be investigated minimum, mean, median maximum values taken into consideration. Moreover, proposed lead new insights boundedness concept scores, which were never reported before by any researcher, especially industry research. Fuzzy regression modelling Possibilistic Linear Regression Least Squares (PLRLS) method was also determine interval minimum connectivity efficiencies, gave a better estimation regular model.