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Reducing t-norms and augmenting t-conorms

被引：5
|
作者：
Detyniecki, M
Yager, RR [1 ]
Bouchon-Meunier, B
机构：
[1] Iona Coll, Inst Machine Intelligence, New Rochelle, NY 10801 USA
[2] Univ Paris 06, CNRS, LIP6, F-75230 Paris 05, France
来源：
INTERNATIONAL JOURNAL OF GENERAL SYSTEMS | 2002年 / 31卷 / 03期
关键词：
aggregation operators; t-norms; information fusion; fuzzy logic;
D O I：
10.1080/03081070290005186
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
We introduce some new classes of parameterized operators. First, we introduce an operator that we call the reduced t-norm, which is obtained by a parameterized deviation from a t-norm. We study this operator and develop some of its properties. We also investigate some special cases of this reduced t-norm operator. We then introduce an analogous operator that we call the augmented t-conorm which is obtained by adding a value to a t-conorm.
引用
收藏
页码：265 / 276
页数：12
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