A Novel Integrated Mcdm Framework Based on Type-2 Neutrosophic Fuzzy Sets (t2nn) for the Selection of Proper Second-Hand Chemical Tankers

Abstract

Shipping companies may not present appropriate and reasonable shipping charges to their customers due to the high investment costs of chemical tanker vessels. Hence, the second-hand chemical tanker vessel selection may present many advantages and opportunities to the shipping companies. However, selecting a suitable chemical tanker represents a complicated process requiring overcoming many ambiguities and considering many conflicting criteria. For this purpose, the current paper proposes a new and integrated MCDM approach based on Type-2 Neutrosophic fuzzy sets. The proposed model combines the advantages of TOPSIS and WASPAS techniques, and it uses Type-2 Neutrosophic fuzzy sets to process the uncertainties. The proposed model was applied to solve decision-making problems in selecting appropriate second-hand chemical tankers among 15 alternatives to show effectivity, pertinence, and robustness. In the current paper, 14 different selection criteria were identified to evaluate the chemical tanker vessels. According to the results, C13 '' Maintenance cost is the most significant factor, and A3 is the best and most preferable chemical tanker. Also, a comprehensive sensitivity analysis was carried out to test the validity and applicability of the suggested model, and the sensitivity analysis approves the applicability, robustness, and validity of the model.