GEOGRAPHICAL ANALYSIS OF CAESAREAN DELIVERY IN INDIA BY INTUITIONISTIC FUZZY SETS

Abstract

Abstract. In this study we analyze the caesarean delivery in India. We first divide the total states into six region central, east, north east, north, south and west. By comparing the state wise NFHS data we observe that percentage of education differ in all this region, region with higher education attain maximum caesarean rate. By comparing delivery in public and private hospital through out six region, region where people opt for public health care shows minimum c-section delivery rate. So by observing this we take women education, family condition, health care facility and maternal choice has factors. In this study we use intuitionistic fuzzy set theory to find some meaningful result to minimize c-section rate. Atanassov’s intuitionistic fuzzy set is more adept or representing and managing uncertainty. Within intuitionistic fuzzy set theory, intuitionistic fuzzy measure is a significant field of study. First, based on the minimum and maximum level of similarity, we suggest a new similarity metric between intuitionistic fuzzy value. It is possible to show some aspects of the suggested similarity measure between intuitionistic fuzzy set by taking into account the modal operators and their different extensions. In this method we choose the best alternative among four options to minimize c-section rate.