A Fuzzy Toolbox for the R Programming Language

被引:0
|
作者
Wagner, Christian [1 ]
Miller, Simon [1 ]
Garibaldi, Jonathan M. [1 ]
机构
[1] Univ Nottingham, Intelligent Modelling & Anal Res Grp, Nottingham NG7 2RD, England
来源
IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ 2011) | 2011年
关键词
fuzzy inference software; type-1 fuzzy inference; type-2 fuzzy infererence; open-source software; Matlab; R; LOGIC SYSTEMS;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, we describe the main functionality of an initial version of a new fuzzy logic software toolkit based on the R language. The toolkit supports the implementation of several types of fuzzy logic inference systems and we discuss and present several aspects of its capabilities to allow the straightforward implementation of type-1 and interval type-2 fuzzy systems. We include source code examples and visualizations both of type-1 and type-2 fuzzy sets as well as output surface visualizations generated using the R toolkit. Finally, we describe the significant benefits of relying on the R language as a language which is employed across several research disciplines (thus enabling access to fuzzy logic tools to a variety of researchers), outline future developments and most importantly call for contributions, comments and feedback to/on this open-source software development effort.
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页码:1185 / 1192
页数:8
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