Does machine learning need fuzzy logic?

被引：46
|
作者：
Huellermeier, Eyke [1 ]
机构：
[1] Univ Paderborn, Dept Comp Sci, Paderborn, Germany
来源：
FUZZY SETS AND SYSTEMS | 2015年 / 281卷
关键词：
Fuzzy sets; Fuzzy logic; Machine learning; RANDOM-VARIABLES; DECISION TREES;
D O I：
10.1016/j.fss.2015.09.001
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
This article is a short position paper in which the author outlines his (necessarily subjective) perception of current research in fuzzy machine learning, that is, the use of formal concepts and mathematical tools from fuzzy sets and fuzzy logic in the field of machine learning. The paper starts with a critical appraisal of previous contributions to fuzzy machine learning and ends with a suggestion of some directions for future work. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码：292 / 299
页数：8
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