An Algorithm for Setting Sugeno-Type Fuzzy Inference Systems

被引：3
|
作者：
Golosovskiy, M. S. [1 ]
Bogomolov, A., V [1 ]
Evtushenko, E., V [1 ]
机构：
[1] Russian Acad Sci, St Petersburg Fed Res Ctr, St Petersburg 199178, Russia
来源：
AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS | 2021年 / 55卷 / 03期
关键词：
intelligent information system; fuzzy inference system; fuzzy inference system tuning; Sugeno-type system; linear regression; membership function;
D O I：
10.3103/S000510552103002X
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
An algorithm for tuning fuzzy inference systems of the Sugeno type of zero order based on statistical data is presented, which assumes the allocation of a set of reference points in the space of input variables, where the values of the output variable are calculated using linear regression. The results of the algorithm are presented, showing the effectiveness of its application for the synthesis of intelligent information systems for various purposes.
引用
收藏
页码：79 / 88
页数：10
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