Dynamic Fuzzy Sets
Dynamic Fuzzy Sets
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发表时间：
2000
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通讯作者：
A. Buller
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作者：
A. Buller
本文提出了一种模糊推理的方式，允许所产生的判断，以改变时间。这项研究的目的是解释人们对一个人或一种社会状况的感觉有时在高度积极的价值和高度消极的价值之间波动的经验证据，即使在没有新数据的情况下。所提出的判断生成方法采用模糊集的概念，然而，动态模糊集的思想，其中的隶属度值允许在时间上发生变化，被引入。一组恒定的隶属度值已被用作动态模型Xt+1 = F（a，Xt）中的控制参数a，其中所提出的函数F被实现为前馈神经网络。Xt是状态变量的集合。其中一个状态变量被解释为结果判断。仿真结果表明，所提出的模型产生的判断，有时像人类主体产生的社会判断振荡。
This paper presents a way of fuzzy inferencing that allows for the resulting judgment to change in time. The aim of the research is to explain the empirical evidence that people’s feelings about a person or a social situation sometimes oscillate between a highly positive value and a highly negative value even in the absence of new data. The proposed method of judgment generation employs the concept of fuzzy set, however, the idea of dynamic fuzzy sets, for which membership values are allowed to change in time, is introduced. A set of constant membership values has been used as the control parameter a in a dynamic model Xt+1 = F(a, Xt ) with the proposed function F implemented as a feed-forward neural network. Xt is the set of state variables. One of the state variables was interpreted as the resulting judgment. Simulation showed that the judgment produced by the proposed model sometimes oscillates like the social judgment produced by a human subject.