multi-criteria model for vaccine slot tracker using fuzzy logic

Autor: Nausheen Fatima, Manish Madhava Tripathi
Rok vydání: 2022
Předmět:
Zdroj: International journal of health sciences. :12540-12555
ISSN: 2550-696X
2550-6978
DOI: 10.53730/ijhs.v6ns2.8327
Popis: The breakout of Covid has occurred in recent years which had a major impact worldwide. In this scenario, vaccination has proven to be highly successful. In a nation like India, vaccination of a big population is a difficult task. Individuals wait for hours for a vaccination slot, yet they are still unable to obtain one because information about the vaccination location and opening hours is unavailable. For this topic, we suggested a Vaccination Tracker algorithm that provides users with real-time information on vaccine openings, locations, available capacity, minimum age limit, Pin code and name of the organization, making vaccination registration a breeze. In this paper a model based of Multi-criteria Fuzzy technique is propose in which probability is generated to assign priority to the registered candidates. On the basis of the priority: Very High, High, Medium, Low, and Very low, the slot of the individual is informed regarding the availability of slots and slot is booked on the basis of the registration details. After successful vaccination, the countdown is started for the next dose, respectively.
Databáze: OpenAIRE