An inductive learning algorithm in fuzzy systems

被引：13

作者：

Castro, JL

Zurita, JM

机构：

[1] Depto. Cie. Comp./Intellgencia A., E.T.S.I. Informática, Universidad de Granada, 18071 Granada, Avenida de Andalucía

来源：

FUZZY SETS AND SYSTEMS | 1997年 / 89卷 / 02期

关键词：

fuzzy logic; automatic learning; environment; truth maintenance system;

D O I：

10.1016/S0165-0114(96)00106-6

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 for identifying the structure of a rule in a fuzzy model. For this purpose, an ATMS shall be used. An algorithm obtaining the identification of the structure will be suggested. The minimal structure of the rule (with respect to the number of variables that must appear in the rule) will be found by this algorithm. Furthermore, the identification parameters shall be obtained simultaneously. The proposed method shall be applied for classification in an example. The lris Plant Database shall be learnt for all three kinds of plants. (C) 1997 Elsevier Science B.V.

引用

页码：193 / 203

页数：11

共 13 条

[1] A generic ATMS [J].

Castro, JL ;

Zurita, JM .

INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 1996, 14 (04) :259-280

[2]

Castro JL, 1996, INT J INTELL SYST, V11, P185, DOI 10.1002/(SICI)1098-111X(199604)11:4<185::AID-INT1>3.0.CO

[3]

2-L

[4] LEARNING RULES FOR A FUZZY INFERENCE MODEL [J].

DECAMPOS, LM ;

MORAL, S .

FUZZY SETS AND SYSTEMS, 1993, 59 (03) :247-257

[5] AN ASSUMPTION-BASED TMS [J].

DEKLEER, J .

ARTIFICIAL INTELLIGENCE, 1986, 28 (02) :127-162

[6] AN INDUCTIVE LEARNING PROCEDURE TO IDENTIFY FUZZY-SYSTEMS [J].

DELGADO, M ;

GONZALEZ, A .

FUZZY SETS AND SYSTEMS, 1993, 55 (02) :121-132

[7] AUTOMATIC LEARNING OF FUZZY NAMING RELATIONS OVER FINITE LANGUAGES [J].

DEMORI, R ;

SAITTA, L .

INFORMATION SCIENCES, 1980, 21 (02) :93-139

[8] The use of multiple measurements in taxonomic problems [J].

Fisher, RA .

ANNALS OF EUGENICS, 1936, 7 :179-188

[9] A LEARNING METHODOLOGY IN UNCERTAIN AND IMPRECISE ENVIRONMENTS [J].

GONZALEZ, A .

INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 1995, 10 (04) :357-371

[10]

MICHALSKI RS, MACHINE LEARNING, V1

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