Comparative Analysis of Infertility Women Affected by Stress Under Fuzzy Environment

Background: Stress increases the main cause of infertility that millions of women worldwide battle with. This paper aims to analyse the relationship between stress and infertility by use of many fuzzy numbers in order to investigate the influence of stress on women's reproductive status. Objectives: One of the various reasons of infertility, a condition defined by the inability to conceive after a year of unprotected sex, is stress. Although conventional methods help to understand the role of stress in infertility, fuzzy logic provides a sophisticated instrument to grasp this complex relationship. Sometimes conventional approaches of assessing stress and how it influences infertility lack accuracy and flexibility. By better estimating and evaluating stress levels and their correlation with infertility using fuzzy logic–especially fuzzy numbers and picture fuzzy sets–this work addresses this gap. Methodology and Findings: The objective is to model this link utilising fuzzy environment approaches by way of comparison and provide a more advanced grasp of how stress affects infertility. Here we modelled stress levels in a sample of women experiencing infertility and comparative analysis were done using various fuzzy environment. These models were then assessed on their ability to replicate the impact of stress on infertility.