Fuzzy Rule Interpolation Developer Toolbox Library

Author

Krizsan, Zoltán ; Kovács, Szilveszter

Author_Institution

Inst. of Inf. Technol., Univ. of Miskolc, Miskolc, Hungary

fYear

2012

fDate

24-26 May 2012

Firstpage

119

Lastpage

123

Abstract

In fuzzy applications which run in real environment the complete rule base is not always available due to real manner and performance issue. In case of real application which based on sparse rule base Fuzzy model the conclusion is interpolated using more rules. More programming libraries exist for complete rule base system, but none for sparse rule base. Developer has to implement the FRI method based on articles or the Fuzzy Rule Interpolation Toolbox for MATLAB can be used which is developed by Johanyak. That special MATLAB Toolbox is perfect for research purpose but it is hard to use in real environment. In this paper, we describe the Fuzzy Rule Interpolation Developer Toolbox Library, which is freely available. A real time application that based on incomplete fuzzy rule base model can use this Developer Toolbox Library. The library has more interfaces, which can be used by any popular programming language, for the reason of easier adoption. More FRI methods are implemented in the framework thus more alternatives can be tried and compared.

Keywords

fuzzy set theory; interpolation; libraries; mathematics computing; MATLAB toolbox; fuzzy rule interpolation developer toolbox library; programming libraries; sparse rule base fuzzy model; Libraries; MATLAB; Fuzzy Rule Interpolation;

fLanguage

English

Publisher

ieee

Conference_Titel

Applied Computational Intelligence and Informatics (SACI), 2012 7th IEEE International Symposium on

Conference_Location

Timisoara

Print_ISBN

978-1-4673-1013-0

Electronic_ISBN

978-1-4673-1012-3

Type

conf

DOI

10.1109/SACI.2012.6249988

Filename

6249988