Decision Method of Intelligent Selection for Air-Borne Weapon Based on Rough Set
Jinfu Feng
Abstract
Jinfu Feng
Abstract
Intelligent development of air-borne external stores management system requires the system to have the ability of intelligent decision.Because of complexity of decision factors,general methods often have large limitations in the application.According to Pawlak's rough set theory,the decision making method of multi-factor rough set in the complete information system was established.Based on the traditional attribution reducing method and decision rule extraction algorithm of rough set,a rule-generation algorithm to generate a minimal set of rule reducing from the complete information system was proposed.Taking a type of aircraft as example,intelligent selection of air-borne weapon was realized by use of module of rough set decision method.The result showed that the proposed method is effective in the process of realization of intelligent decision for external stores management system.
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Intelligent development of air-borne external stores management system requires the system to have the ability of intelligent decision.Because of complexity of decision factors,general methods often have large limitations in the application.According to Pawlak's rough set theory,the decision making method of multi-factor rough set in the complete information system was established.Based on the traditional attribution reducing method and decision rule extraction algorithm of rough set,a rule-generation algorithm to generate a minimal set of rule reducing from the complete information system was proposed.Taking a type of aircraft as example,intelligent selection of air-borne weapon was realized by use of module of rough set decision method.The result showed that the proposed method is effective in the process of realization of intelligent decision for external stores management system.
Key concepts: Rough set, Decision rule, Decision system, Realization (probability), Intelligent decision support system, Dominance-based rough set approach, Decision table, Set (abstract data type)