Penyusunan Basis Kaidah Fuzzy Berdasarkan Pasangan Input-Output Pada Sistem Fuzzy (original) (raw)

2014

Abstract

The implementation of fuzzy inference system on the real problems have been carried out by researchers from different scientific disciplines. Preparation of base rules plays a very important role when there is no rule of experts or the curse of dimensionality. The results of this research can be used as a reference to build the fuzzy rule base in the fuzzy inference system and a financial time series forecasting model by a heuristic method. The data used for the implementation is Kaotis McGlass time series data. From the kaotis data sets, a total of 600 items are divided into two groups, the first 300 items are used as a data base to develop rules while the other 300 items as predicted data. From the first group of data, input-output pairs are formed and are used as a constituent of fuzzy rule base. Steps being taken are: 1). Defining fuzzy sets that cover the entire input-output space, 2). Generating the rules of every single pair of input-output, 3). Provides a degree for each rul...

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