摘要
系统决策基于系统的属性信息,这些信息有定性的也有定量的.综合定性与定量信息,基于模糊推理理论建立了一个普适的单层属性的模糊智能控制系统.将决策信息分级并模糊化,建立模糊推理规则库;依据模糊化的决策信息搜索推理规则库,进行模糊合成得到控制信息.实现对系统的智能化控制.讨论了系统运行的时间复杂度和空间复杂度,并进行了证明.最后给出了单层模糊智能控制系统的一个应用实例.
System control is based on the attribute informations of the system,some of which are qualitative and the others are quantitative. By combining the qualitative and quantitative information,an universal fuzzy intelligent control system with single layer attributes is established based on fuzzy control theory. The decision information is graded and fuzzified,and a fuzzy inference rule base is established. And then searching the fuzzy inference rule base according to the fuzzy decision information,and the fuzzy synthesis is carried out to obtain the control information. Finally,the intelligent control of the system is realized. The time complexity and space complexity of the model are discussed and proved. Finally,a calculation example of the fuzzy intelligent control system with single layer attributes is given.
作者
鱼先锋
张林
YU Xianfeng;ZHANG Lin(Institute of Mathematics and Computer Application,Shangluo University,Shangluo 726000,Shaanxi China)
出处
《河南科学》
2019年第8期1220-1225,共6页
Henan Science
基金
商洛市科技计划项目（SK2018-03-01）
陕西省教育厅项目（18JK1236）
关键词
单层属性
模糊智能控制系统
模糊合成
隶属度函数
权重
single layer attribute
fuzzy intelligent control system
fuzzy synthesis calculation
degree of mem. bership function
weight
