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实际问题中存在着大量连续量以及对它们的各种认知信息(知识).为了较好地描述和利用这些知识,将这些知识分解为连续认知结论以及关于这个结论的一个认知结构,并将它们统一成一个连续认知结构.在此基础上提出了一种基于连续认知结构的连续认知推理网络,并探讨了一套利用连续认知结构进行推理的方法.这种方法在不完全的知识推理网络中的推理是非单调的,其最简推理复杂度关于推理网络节点在最复杂情况下是线性的.同时,还用例子说明了这种方法在实际问题求解中的适用性.
There are a large number of continuous problems in practical problems and various kinds of cognitive information (knowledge) to them.In order to describe and make use of the knowledge well, this knowledge is decomposed into continuous cognitive conclusion and a cognitive structure about this conclusion, And they are unified into a continuous cognitive structure.On the basis of this, a continuous cognitive network based on continuous cognitive structure is proposed and a set of methods of inference using continuous cognitive structure is discussed. The reasoning in incomplete knowledge reasoning networks is non-monotonic, and its minimal reasoning complexity is linear in the most complicated cases. At the same time, examples are given to illustrate the applicability of this method in solving practical problems .