期刊
FUZZY SETS AND SYSTEMS
卷 137, 期 1, 页码 59-69出版社
ELSEVIER
DOI: 10.1016/S0165-0114(02)00432-3
关键词
IOWA operator; OWA aggregation operators; best yesterday models
We introduce the induced ordered weighted averaging (IOWA) operator. In these operators the argument ordering process is guided by a variable called the order inducing value. A procedure for learning the weights from data is described. We suggest a number of applications of these induced OWA aggregation operators. First we show its possibilities in modeling nearest-neighbor rules. Next it is applied to the aggregation of complex objects such as matrices. It is also used to establish a new class of information fusion models called best yesterday models. Finally, we extend the idea of order induced aggregation to the Choquet aggregation resulting in what we call the induced Choquet ordered averaging (I-COA) operator. (C) 2002 Elsevier Science B.V. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据