Analyzing the Sustainability of Industry Affected in COVID-19 Pandemic Scenario Using Cosine Similarity Measure under SVPNS and PNN Model

Priyanka Majumder¹, Florentin Smarandache^2,*

¹Department of Basic Science and Humanities, Techno College of Engineering Agartala, Tripura, India

²University of New Mexico, Mathematics Department, 705 Gurley Ave., Gallup, NM 87301, USA

                                                                                                                          Emails: majumderpriyanka94@yahoo.com; fsmarandache@gmail.com

Abstract

COVID-19 outbreak is a reminder of the fact that the pandemics have happened in the past and will also occur in the future. The COVID-19 not only has affected the economy; but also it has affected the livelihood, which leads to the changes in businesses. This study aims to identify the most significant indicator (or parameter) that impacts the sustainability of industries. The study should also develop a real-time monitoring system for the sustainability of industries affected by COVID 19. In this work, the Polynomial Neural Network (PNN) and cosine similarity measure under SVPNS (Single-Valued Pentapartitioned Neutrosophic Set) environment have found their use in analyzing the sustainability of the industry.

Keywords: COVID-19; SVPNS; cosine similarity measure; Polynomial Neural Network; sustainability.