A Study on Decision-Making of the Indian Railways Reservation System during COVID-19

The Indian Railways Reservation System (IRRS) is one of the world’s busiest reservation systems railway tickets. Recently, COVID-19 pandemic situation has severely impacted Railway’s (IR) transportation, which eventually enforced IR to alter passenger system. This research attempts evaluate and analyse factors that modify IRRS. In this research, a rough set-based Data Mining Scaffolding (DMS) been proposed. Here, relevant preferential information related IRRS managed by introducing multi-criteria decision-making (MCDM), where decision-maker (DM) can make decision based on several rules. effectiveness proposed DMS explained gathering realistic data 26 trains, run between stations two metro cities India during period.