基于不确定性人工智能的概念软与方法

基于概念“软与”操作在不确定性人工智能云模型中的重要性，提出了两种概念“软与”的新方法，分别为投影映射法与神经网络“软与”法。前者将云模型产生的云滴投影到新论域中，再通过多维X条件云发生器机制获取“软与”结果；后者通过基于案例推理方法与神经网络相结合，经过神经网络的训练学习，最终预测出云概念的“软与”确定度。算例分析表明，两者能对概念进行客观地“软与”操作，为概念“软与”操作提供了固定有效的方法。

Methods of conception soft-and operation in cloud model

On account of the importance of the conception soft-and operation in the cloud models as artificial intelligence with uncertainty, two soft-and operation methods to compute the conception were introduced, namely, projection mapping and neural network soft-and. The drops created by cloud models were mapped to new universe of discourse and immediately the X-term cloud generation was used to gain the results of soft-and by the former method. In the later method, case based reasoning was combined with neural network, and through training and learning, the certainty level was predicted finally. The experiments testify that the two conception soft-and methods provide valid and fixed ways for executing the conception of soft-and operation.