A novel target threat assessment method based on three-way decisions under intuitionistic fuzzy multi-attribute decision making environment

Target threat assessment aims to rank targets threat based on their attributes and state information, which provide decision support for subsequent military decisions, e.g. weapon-target optimal assignment. Most existing threat assessment methods can only obtain ranking results, decision-makers usually need to subjectively choose priority targets to attack or interfere based on the preset threat level and ordering results, which does not meet the requirements of complex battlefield situation and uncertain information processing. A method is urgently needed, which can objectively produce threat classification results and automatically provide priority targets for combat. Therefore, we propose a novel target threat assessment method based on three-way decisions under intuitionistic fuzzy multi-attribute decision making environment. The core parts are the conditional probability of each target is estimated by intuitionistic fuzzy TOPSIS and the decision thresholds of each target are constructed by intuitionistic fuzzy evaluation values. The results of two numerical examples show that the proposed method can effectively deal with dynamic uncertain situation information, turn the traditional ranking results of two-way decisions to the objective classification results of three-way decisions and can flexibly reflect the acquisition of situation information by setting the risk avoidance coefficient.