AI-based Dynamic Programming Approach in Agriculture for Solving Intuitionistic Fuzzy Assignment Problems

A well-known and most suitable method to address real-life situations is the Assignment problem. In this paper, an optimum distribution of duty of paddocks to the crops is in the Intuitionistic fuzzy (IF) assignment problem with the cost function as an Intuitionistic triangular undefined number. The assignment costs are fuzzified into crisp numbers, and a multistage decision-making method known as Dynamic Mathematical Programming is used to find the best solution to the inverse problem. This study uses an AI-based dynamic programming approach in the field of agriculture. This study tries to solve the IF assignment problems.