A direct linguistic induction method for systems

被引：7
|
作者：
Moreno-Garcia, J
Linares, LJ
Castro-Schez, JJ
Benitez, LR
机构：
[1] Univ Castilla La Mancha, EUIT Ind, Toledo, Spain
[2] Univ Castilla La Mancha, ES Informat, E-13071 Ciudad Real, Spain
[3] Univ Castilla La Mancha, EU Politecn, Almaden, Spain
来源：
FUZZY SETS AND SYSTEMS | 2004年 / 146卷 / 01期
关键词：
linguistic modeling; fuzzy induction; fuzzy models; fuzzy system models;
D O I：
10.1016/j.fss.2003.11.007
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
The aim of this paper is to present a method of obtaining a linguistic model that reflects the behavior of a combined well-known data. The method is based on the technique of successive division of the input space as CART (Classification and Regression Tree, Wadsworth, Monterey, CA, 1984) and ID3 (Mach. Learning 1 (1986) 81). The obtained rules have linguistic variables such as antecedent and consequent. The methods ID3 and CART are generalized to work directly with linguistic variables defined a priori, incorporating the concept of linguistic interval in order to represent the disjunctions of the linguistic labels. (C) 2003 Elsevier B.V. All rights reserved.
引用
收藏
页码：79 / 96
页数：18
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