A SUPER FUZZY COGNITIVE STUDY OF POVERTY IN PANDEMIC SCENARIO IN TAMILNADU, INDIA.

Abstract

In the pandemic situation there are several kinds of status of people are living with struggles.  The one kind of people  who struggling every day to run their life peacefully known as poor people who living below poverty line.  They are  living in a group of house, earning eager amount daily or  in some days.  In this paper we have interviewed 695 poor people in Tamilnadu using a linguistic questionnaire.  As the problems faced by them to improve their life at large involve so much of feeling, uncertainties and unpredictability’s.  I felt that it deem fit to use fuzzy theory in general and a new fuzzy model in particular called Average Super Fuzzy Cognitive Maps (ASFCM), to study the problems faced by poor people. ASFCM  is the best suitable tool where the data is an unsupervised one.  Further the ASFCM  is much powerful to identify the main development factor of poor people.

This paper has four sections.  In section one  introduction of ASFCM  is given.   In section two,  describe the ASFCM to identify the major problem of poor people. In section three,  apply these factors to the ASFCM and  section four  derive  the conclusions.