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逆P-集合是一个新的动态数学模型,它是把动态特性引入到有限普通集合X内,改进有限普通集合X被提出的。逆P-集合是由内逆P-集合珔XF与外逆P-集合珔X珔F构成的元素集合对。或者,(珔XF,珔X珔F)是逆P-集合,逆P-集合具有动态特性。在一定的条件下,逆P-集合被还原成有限普通集合。逆P-集合具有P-集合相反的动态特性。逆P-推理是逆P-集合生成的一个动态推理。利用逆P-集合,逆P-推理,本文给出信息智能融合生成,信息智能融合度概念,给出信息智能融合挖掘-发现与信息智能融合挖掘-发现定理,给出挖掘-发现准则。最后,利用这些结果给出信息智能融合挖掘-发现的应用。
Inverse P-set is a new dynamic mathematical model, it is the introduction of dynamic properties into the finite ordinary set X, improved finite ordinary set X is proposed. An inverse P-set is a set of element pairs consisting of an inverse inner P-set 珔 XF and an outer inverse P-set 珔 X 珔 F. Alternatively, (珔 XF, 珔 X 珔 F) is an inverse P-set and an inverse P-set has a dynamic characteristic. Under certain conditions, the inverse P-sets are reduced to a finite common set. Inverse P-sets have opposite dynamics of P-sets. Inverse P-inference is a dynamic reasoning generated by inverse P-sets. Using inverse P-set and inverse P-reasoning, this paper gives the concept of information fusion and the concept of information fusion, and gives the information fusion fusion-discovery and information intelligent fusion mining-discovery theorem and the mining-discovery criterion. Finally, we use these results to give an information fusion fusion-discovery application.