Neutrosophication of statistical data in a study to assess the knowledge, attitude and symptoms on reproductive tract infection among women
Journal Title: Journal of Fuzzy Extension & Applications - Year 2021, Vol 2, Issue 1
Abstract
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.
Authors and Affiliations
Somen Debnath
Keywords
Related Articles
- EP ID EP692672
- DOI 10.22105/JFEA.2021.272508.1073
- Views 159
- Downloads 0
Computer and fuzzy theory application: review in home appliances
Clays have a tendency to this article first introduces the basic concepts of fuzzy theory, including comparisons between fuzzy sets and traditional explicit sets, fuzzy sets basic operations such as the membership functi...
Neutrosophication of statistical data in a study to assess the knowledge, attitude and symptoms on reproductive tract infection among women
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 area...
Efficiency study with undesirable inputs and outputs in DEA
Data Envelopment Analysis (DEA) is one of the well-known methods for calculating efficiency, determining efficient boundaries and evaluating efficiency that is used in specific input and output conditions. Traditional mo...
Evaluation and selection of supplier in supply chain with fuzzy analytical network process approach
One of the most important issues concerning the designing a supply chain is selecting the supplier. Selecting proper suppliers is one of the most crucial activities of an organization towards the gradual improvement and...
Neutrosophic soft matrices and its application in medical diagnosis
In real life situations, there are many issues in which we face uncertainties, vagueness, complexities and unpredictability. Neutrosophic sets are a mathematical tool to address some issues which cannot be met using the...