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

• المؤلفون الرئيسيون: Nadarajan, Dineswary, Ahmed, Saber Abdelall Mohamed, Noor, Noor Fadiya Mohd
• التنسيق: مقال
• منشور في: MDPI 2023
• الموضوعات: Q Science (General); QA Mathematics
• الوصول للمادة أونلاين: http://eprints.um.edu.my/38534/
• المؤسسة: Universiti Malaya

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 of vessels, size of vessels, cargo carrying capacity of vessels) and output variables (Liner Shipping Connectivity Index (LSCI) and Gross Domestic Product (GDP)) are collected. Few screening tests are performed to ensure the data are fit for further analyses. Since none of the existing studies has ever considered LSCI as an output variable, the main purpose of this study is to measure seaport network efficiency based on LSCI using data envelopment analysis (DEA), both classical and fuzzy. In fuzzy DEA, triangular fuzzy number (TrFN) and trapezoidal fuzzy number (TpFN) are used to construct the fuzzy sets of efficiency scores with DEA. The comparison between DEA and triangular fuzzy data envelopment analysis (TrFDEA) shows the range of differences in the results ranges from -0.0274 to 0.0105, while the comparison between DEA and trapezo