Integrated decision making framework for weapon application under uncertain environment

The aim of this paper is to present an integrated decision making framework for weapon application under uncertain environment. Within this framework, concise decision rules are extracted initially from original decision data based on fuzzy rough set theory. A set of appropriate weapon systems are identified through intuitionistic fuzzy reasoning using extracted fuzzy rules. Next, the optimal weapon system is selected from the set of alternatives by using fuzzy multi-attribute group decision-making methods. Then, the dynamic weapon-target assignment model is investigated on the basis of differential evolution algorithm. Ultimately, agile simulation provides a means for getting feedback on weapon system decisions.