Generalizing Leximin to t-norms and t-conorms

被引：0

作者：

Yager, RR ^{[1
]}

Walker, CL ^{[1
]}

Walker, EA ^{[1
]}

机构：

[1] Iona Coll, Inst Machine Intelligence, New Rochelle, NY 10801 USA

来源：

NAFIPS 2004: ANNUAL MEETING OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY, VOLS 1AND 2: FUZZY SETS IN THE HEART OF THE CANADIAN ROCKIES | 2004年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The Leximin procedure, introduced by Dubois and Prade in 1996, provides a methodology for adjudicating ties in aggregated values when using the min t-norm. Here, with the introduction of the LexiT procedure, we generalize these ideas to provide a tool for adjudicating ties when aggregating data using any t-norm. We also provide the LexiS procedure for adjudicating ties when aggregating arguments using t-conorms.

引用

页码：343 / 345

页数：3

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