Firing Strength: 对于离散的fuzzy set,x值对应的 μ 值。 Output membership function:input的firing strength与output的fuzzy sets之积,再将各规则结合在一起(选firing strength大的)。 Linguistic Hedges:用来形容程度的词 concentration 浓缩 reducing membership degree dilation 扩散 increasing membership degree intens...
模糊推理系统(fuzzy inference system)在运算时,必须利用许多交集的计算来取得各个模糊规则的「触发强度」(firing strength)…doc.mbalib.com|基于17个网页 2. 模糊推论系统 传统的模糊推论系统(Fuzzy Inference System)因为缺乏学习性的机制必须靠人的思维一次次的调整归属函数才能达到减小误差 …web2.yzu.edu.tw|基...
a they were exposed to coal dust after the preventive measures in the Coal Act went into effect. 在预防措施在煤炭行动进入作用之后,他们被暴露了在煤尘。[translate] ausing an intelligent fuzzy inference system 使用一个聪明的模糊的推理系统[translate]...
ababy cloth 婴孩布料[translate] aLeave details not present for any employee, go to add employee leave details. 留给细节不当前为所有雇员,去增加雇员事假细节。[translate] aan intelligent fuzzy inference system 一个聪明的模糊的推理系统[translate]...
United States Patent US5408584 Note: If you have problems viewing the PDF, please make sure you have the latest version ofAdobe Acrobat. Back to full text
(redirected fromFuzzy Inference System Professional) AcronymDefinition FISPROFuzzy Inference System Professional(fuzzy logic software) Copyright 1988-2018AcronymFinder.com, All rights reserved. Suggest new definition Want to thank TFD for its existence?Tell a friend about us, add a link to this page,...
PURPOSE:To express different strengths of knowledge and to execute a more flexible inference by weighing a rule by a rule effectiveness independent of the rule, and controlling the inference. CONSTITUTION:A rule of an if-then type system is constituted of a fuzzy knowledge storage part 1 which...
The fuzzy inference system comprises an inference unit (30) of pipeline architecture, a control unit (20) for controlling the operation of the inference unit, and a host computer (10) for supervising the entire operation. A plurality of inference rule groups (referred to as rule cells) each ...
Satisfiability of three naturally proposed axioms, which are desirable for fuzzy inference system, was discussed by Moser and Navara in [36]. The fuzzy rule base models considered in this study were mainly the Mamdani-Assilian ones and partly also logically motivated implicative fuzzy systems. The...
Mamdani fuzzy inference was first introduced as a method to create a control system by synthesizing a set of linguistic control rules obtained from experienced human operators[1]. In a Mamdani system, the output of each rule is a fuzzy set. ...