AN ADAPTIVE APPROACH TO DEFUZZIFICATION BASED ON LEVEL SETS

被引：18

作者：

FILEV, DP

YAGER, RR

机构：

[1] Machine Intelligence Institute, Iona College, New Rochelle

来源：

FUZZY SETS AND SYSTEMS | 1993年 / 54卷 / 03期

关键词：

FUZZY LOGIC CONTROL; DEFUZZIFICATION; UNCERTAIN; APPROXIMATE REASONING;

D O I：

10.1016/0165-0114(93)90383-S

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

We look at the process of defuzzification used in fuzzy logic controllers. We provide a parametrized formulation for this procedure based upon the use of level sets which we call generalized level set defuzzification. We show that the commonly used defuzzification procedures, mean of maxima and center of area, are special cases of this general procedure and are simply distinguished by the choice of the parameter. We provide a simple algorithm for adaptive choice of the best defuzzification procedure.

引用

页码：355 / 360

页数：6