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Vol: 58(72) No: 1 / March 2013 Native Developer Toolbox Library for Sparse Fuzzy Rule Based System Zoltán Krizsán Department of Information Technology, University of Miskolc, Miskolc-Egyetemváros, H-3515, Hungary, e-mail: krizsan@iit.uni-miskolc.hu Szilveszter Kovács Department of Information Technology, University of Miskolc, Miskolc-Egyetemváros, H-3515, Hungary, e-mail: szkovacs@iit.uni-miskolc.hu Dong Hwa Kim Department of Electronic and Control Engineering, Hanbat National University, 16-1 Duckmyong dong Yuseong gu Daejeon, South Korea, e-mail: kimdh@hanbat.ac.kr Keywords: Sparse Fuzzy system, Fuzzy Rule Interpolation Developer Toolbox Library Abstract Direct application of classical fuzzy reasoning methods for complex real world tasks are facing the problem of the rule base size. One solution for avoiding the exponentially growing rule base is the adaptation of sparse fuzzy rule-base knowledge representation and the fuzzy rule interpolation methodology. There are numerous implementations of the classical fuzzy reasoning methods can be found on public Internet sources as software products, but there is a shortage of publicly available fuzzy rule interpolation software products. One exception is the publicly available Fuzzy Rule Interpolation Toolbox for Matlab introduced and developed by Johanyák et al. That special Matlab Toolbox is perfect for research purpose but it is hard to use in real-time application environment. In this paper, we examine the existing FRI methods then clarify a set of common criteria. According to these theoretical demands some practical requirements of the framework structure are defined. Finally a short introduction of the structure and the usage of the Fuzzy Rule Interpolation Developer Toolbox Library are shown. The Developer Toolbox Library provides an efficient way for developing real-time applications of incomplete fuzzy rule base models. 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