AI-based Dynamic Programming Approach in Agriculture for Solving Intuitionistic Fuzzy Assignment Problems
- Resource Type
- Conference
- Authors
- Pal, Surya Kant; Mir, S A; Lone, Mushtaq A; Mushtaq, Tabasum; Roy, Rita; Sirohi, Anu
- Source
- 2023 10th International Conference on Computing for Sustainable Global Development (INDIACom) Computing for Sustainable Global Development (INDIACom), 2023 10th International Conference on. :223-226 Mar, 2023
- Subject
- Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineering Profession
Fields, Waves and Electromagnetics
General Topics for Engineers
Geoscience
Nuclear Engineering
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Costs
Inverse problems
Decision making
Crops
Dynamic scheduling
Agriculture
Dynamic programming
AI-based Dynamic Programming
Assignment Problem
IF assignment problem
optimal allocation
Intuitionistic Triangular Fuzzy Numbers
- Language
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.