Fuzzy Soft Sets and Decision Making in Ideal Nutrition

Abstract

Issues in daily life, where making the best decisions is crucial, are frequently encountered. But, in the majority of these situations, the best course of action is uncertain. We must take into account a number of parameters in order to find the best possible solution to these difficulties. The best mathematical instrument for this is fuzzy soft set FSS theory in decision making. Nutrition is the process of supplying cells and organisms with the nutrients they need to grow and thrive and to sustain life. A healthy diet has the potential to prevent or mitigate numerous prevalent health issues. The purpose of this paper is to select a burning problem for the nutrition of students and successfully apply the FSS theory in decision making. We aim to prove that the approach to decision-making problems with imprecise data via FSSs is more accurate than other types of approaches, and we present a new approach to the FSS model and its applications in decision-making problems.