Abstract：Under the condition of information technology,there is a high degree of uncertainty in the combat environment of manned/unmanned aerial vehicle formation;so how to evaluate the threat of targets quickly and efficiently becomes an urgent problem to be solved.In the framework of intuitionistic fuzzy sets,researching the satiation that decision makers with preference information on alternatives,the target attribute value is interval number and weight is unknown,a threat assessment method with unknown attribute weight optimized by QABC (Quantum Artificial Bee Colony) optimization algorithm is proposed based on IFMADM (Intuitionistic Fuzzy Multi-Attribute Decision Making).Firstly,preference model is constructed;secondly,the optimization model of optimal attribute weights is established considering the objective optimization taxis and preference information of decision maker synthetically,making attribute weights more reasonably reflect the actual situation by QABC optimization algorithm.Finally,the effectiveness of the proposed method is demonstrated by an example of formation threat to ground attack.
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2018, Vol. 46 
