Fuzzy Rule Interpolation Matlab toolbox -: FRI toolbox

被引：13
作者：
Johanyak, Zsolt Csaba [1 ]
Tikk, Domonkos [2 ]
Kovacs, Szilveszter [3 ]
Wong, Kok Wai [4 ]
机构：
[1] Kecskemet Coll, Dept Informat Technol, GAMF Fac, H-6000 Kecskemet, Hungary
[2] Budapest Univ Technol & Econ, Dept Telecommun & Media Informat, H-1117 Budapest, Hungary
[3] Univ Miskolc, Dept Informat Technol, H-3515 Miskolc, Hungary
[4] Murdoch Univ, Sch Informat Technol, Murdoch, WA, Australia
来源：
2006 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-5 | 2006年
关键词：
D O I：
10.1109/FUZZY.2006.1681736
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In most fuzzy systems, the completeness of the fuzzy rule base is required to generate meaningful output when classical fuzzy reasoning methods are applied. This means, in other words, that the fuzzy rule base has to cover all possible inputs. Regardless of the way of rule base construction, be it created by human experts or by an automated manner, often incomplete rule bases are generated. One simple solution to handle sparse fuzzy rule bases and to make infer reasonable output is the application of fuzzy rule interpolation (FRI) methods. In this paper, we present a Fuzzy Rule Interpolation Matlab Toolbox, which is freely available. With the introduction of this Matlab Toolbox, different FRI methods can be used for different real time applications, which have sparse or incomplete fuzzy rule base.
引用
收藏
页码：351 / +
页数：2
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