Deep combination of fuzzy inference and neural network in fuzzy inference software - FINEST

被引：20

作者：

Tano, S

Oyama, T

Arnould, T

机构：

[1] Lab. for Intl. Fuzzy Eng. Research, Siber Hegner Bldg. 4Fl, Naka-Ku, Yokohama 231

来源：

FUZZY SETS AND SYSTEMS | 1996年 / 82卷 / 02期

关键词：

fuzzy inference; tuning; neural network; fuzzy inference tool;

D O I：

10.1016/0165-0114(95)00251-0

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

At the Laboratory for International Fuzzy Engineering Research in Japan (LIFE), we are now developing FINEST (Fuzzy Inference Environment Software with Tuning). The special features are (1) improved generalized modus ponens, (2) mechanism which can tune the inference method as well as fuzzy predicates and (3) software environment for debugging and tuning. In this paper, we give an outline of the software, and describe an important concept, a deep combination of the fuzzy inference and the neural network in FINEST, which enables FINEST to tune the inference method itself. FINEST is now being used as a tool for quantification of the meaning of natural language sentences as well as a tool for fuzzy modelling and fuzzy control.

引用

页码：151 / 160

页数：10

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