Integration of Decision Tree-Fuzzy Algorithm for Decision Support System in Air Force Operation

This paper focuses on developing DSS (Decision Support System) that is implemented in command control for military operations. The DSS decides on the military operation field primarily to obtain air sovereignty. The system employs two algorithms, i.e., the decision tree algorithm and the fuzzy algorithm. The decision tree algorithm solves the whole branch of the decision-making process, and fuzzy algorithm is to cope with the partial decision-making in a particular attribute for continued input. The input of the decision tree is aircraft, divided into four attributes, i.e., altitude, velocity, and position of the enemy's aircraft. The altitude and velocity attributes determine a decision using fuzzy logic with a specific membership function that reflects the possible condition. The membership function consists of two or three states. The proposed mathematical modeling calculates the total friendly aircraft fighter to chase the enemy's aircraft. The outputs of the decision-making process are air force base, squadron, type, and total aircraft. The experimental setup is conducted in different scenarios to examine the proposed method. The results show that the application of decision tree and fuzzy algorithm can be used in military operations as DSS.