TY - JOUR ID - 126491 TI - Neutrosophication of statistical data in a study to assess the knowledge, attitude and symptoms on reproductive tract infection among women JO - Journal of Fuzzy Extension and Applications JA - JFEA LA - en SN - 2783-1442 AU - Debnath, Somen AD - Department of Mathematics, Umakanta Academy, Agartala-799001, Tripura, India. Y1 - 2021 PY - 2021 VL - 2 IS - 1 SP - 33 EP - 40 KW - Neutrosophic statistics KW - Neutrosophic data KW - sample size KW - Sexually transmitted disease DO - 10.22105/jfea.2021.272508.1073 N2 - Statistics mainly concerned with data that may be qualitative or quantitative. Earlier we have used the notion of statistics in the classical sense where we assign values that are crisp. But in reality, we find some areas where the crisp concept is not sufficient to solve the problem. So, it seems difficult to assign a definite value for each parameter. For this, fuzzy sets and logic have been introduced to give the flexibility to analyze and classify statistical data. Moreover, we may come across such parameters that are indeterminate, uncertain, imprecise, incomplete, unknown, unsure, approximate, and even completely unknown. Intuitionistic fuzzy set explain uncertainty at some extent. But itis not sufficient to study all sorts of uncertainty present in real-life. It means that there exists data which are neutrosophic in nature. So, neutrosophic data plays a significant role to study the concept of indeterminacy present in a data without any restriction. The main objective of preparing this article is to highlighting the importance of neutrosophication of statistical data in a study to assess the symptoms related to Reproductive Tract Infections (RTIs) or Sexually Transmitted Infections (STIs) among women by sampling estimation. UR - https://www.journal-fea.com/article_126491.html L1 - https://www.journal-fea.com/article_126491_5317373c5ee3683c9262ce9dfdd2253b.pdf ER -