Fuzzy VIKOR approach to identify COVID-19 vulnerability region to control third wave in Assam, India

Abstract

These days, the appraisal of the COVID-19 vulnerability has become a difficult errand for the whole world. The COVID-19 administration dynamic issue frequently includes numerous elective arrangements clashing standards. In this paper, we present a multi-criteria decision-making (MCDM) procedure based on the fuzzy VIKOR method to survey the COVID-19 vulnerability in the state of Assam, India. The trapezoidal fuzzy number is utilized to evaluate the rating of the loads for the set-up models. We have observed environment, social, and Medical factors after observing the spread of COVID-19. To study and to have comments, a committee of five experts has been formed from a different region of Assam to observe and comment to identify Coronavirus’s weakest factors. For a better survey, we have divided the state into four areas namely Rural Area, Urban Area, Market Area in Rural Area, and Market Area in Urban Area. The current research looked at how the fuzzy VIKOR selects provinces for urgent adaptation needs differently than a traditional MCDM technique.

Agricultural Waste-Based Heterogeneous Catalyst for the Production of Biodiesel: A Ranking Study via the VIKOR Method

“…The multicriterion decision-making VIKOR methodology is a multicriterion optimization and compromise solution [125].…”

“…The VIKOR method was first presented by Opricovic, which was on the basis of ranking and selecting from a set of alternatives under inconsistent criteria [122]. The VIKOR strategy was designed to optimize the multicriterion complex framework [125]. In the method, the measure of closeness to the ideal alternative was compared, and a compromised ranking could be obtained.…”