基于问题的一元Fuzzy事件认知计算

Cognitive computation of single fuzzy unit event based on problems

为改正现有认知计算的不足,提出了基于问题的一元Fuzzy事件认知计算。它包含感知计算、建模计算、决策计算三个不同的阶段,感知计算依据问题和模型对外界发生的一元Fuzzy事件进行预处理,并将筛选出的一元Fuzzy事件计算为认识;建模计算将不同的认识计算为模型;决策计算接收外界提交的指令,根据模型计算出完成指令的答案。实验发现,基于问题的一元Fuzzy事件认知计算改正了已有认知计算的不足。因此,它是对人类大脑处理认知信息的准确模拟。

Aiming at the flaw of the current cognitive computations, the single fuzzy unit event cognitive computation based on problems was proposed. There were three different cognitive processes which included perception computation process, modeling computation process and decision computation process. In the perception computation process, the outside single fuzzy unit events were preprocessed according to the problems and the models, then the selected single fuzzy unit events were computed as the cognitions. In the modeling computation process, the different cognitions were computed as the models. The answers of the instructions were computed by the models in the decision computation process. Experimental results demonstrated that the single fuzzy unit event cognitive computation based on problems corrected the flaw of the current cognitive computations, so it accurately simulates the process which the brain processes the cognitive information.