1 publication

• Published Subscription Original Research 28 Apr 2025

  Optimizing Sampling Techniques Using Fuzzy Set Theory: A Comprehensive Approach

  By Ritu Yadav, Pratiksha Tiwari, Sangeeta Malik

  Abstract: Sampling is a critical process in statistics, used to estimate population parameters without needing to examine the entire population. Traditional sampling methods, such as simple random sampling, stratified sampling, and cluster sampling, face limitations when applied to complex or heterogeneous populations with imprecise boundaries. These methods often fail to accurately represent populations with overlapping characteristics or missing data, resulting in sampling bias and reduced accuracy. To address these challenges, this …

  Published in Research & Reviews: Discrete Mathematical Structures · Vol. 12, Issue 1, 2025 · pp. 29–43 Read article →