Fuzzy Mathematical Approach to Detect Micronutrient Deficiency

Abstract

Classical theory is still inadequate to properly handle the uncertainty of failure data. In real life situation the classical theory is insufficient to covers up the deficiency caused due to the uncertainty in sampling, collection of data and variation in data. Fuzzy logic covers up the deficiency caused due to the above factors and the grading in membership function. Present paper aims to applying the fuzzy methodology to a case study that was undertaken in two randomly selected community developed blocks of Uttar Pradesh. The major objective of the study was to analyze the iodine deficiency disorders in two areas of Uttar Pradesh, one endemic and one non-endemic and to compare prevalence of Goiter in the two areas of study.