The Assessment of Terminals for Containers and Service Quality Evaluation Using a Circular Intuitionistic Fuzzy Intelligent Algorithm

To optimize operational efficiency and raise customer satisfaction, it is essential to evaluate container terminals and their services effectively. To rank container terminals according to a variety of criteria, this study provides a novel method that combines the Circular Intuitionistic Fuzzy Hamy Mean (CIFHM) models with an Intelligent Decision Support System (IDSS) to overcome hesitations. The CIFHM model has been established to overcome the complications of decision-making processes in situations where conventional approaches might not be enough. The CIFHM operator is utilized to combine various aspects of service quality, such as infrastructure, cost-effectiveness, environmental sustainability, operational efficiency, and customer satisfaction. This model provides a more sophisticated demonstration of ambiguity by applying the intuitionistic fuzzy set (IFS) theory, which considers membership (MD) and non-membership degree (NMD). The CIFHM model further expands decision-making by including circular intuitionistic fuzzy sets (CIFSs), allowing more precise and flexible information aggregation. A case study on many container terminals is offered to show how well the suggested approach works to assess service quality. The findings provide stakeholders, politicians, and terminal managers with useful information to raise standards of service and optimize operations.