Pythagorean Fuzzy Sets and Its Application in Crop Cultivation

In any decision-making problem, ambiguity is an important factor in finding a solution. Many advanced methods and techniques have been introduced to tackle this unreliable environment. Pythagorean fuzzy sets, a generalization of IFS, is a most flexible tool to handle this situation in decision-making problems. Various factors such as soil type, land type, crop pattern, and investment influence the crop cultivation in a region. This article analyzes the properties of Pythagorean fuzzy sets and Pythagorean fuzzy functions taking the above factors into account and applies the same for the problem of crop cultivation. Finally, a decision-making approach to crop cultivation process is carried out using a hypothetical database using the Pythagorean fuzzy sets and max–min–max operator.