Kraimon Maneesilp

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Traditional fuzzy time series have more forecasting errors when clustering the universe of discourse is too low. This paper presents a new method using Cartesian product of a matrix to define the fuzzy relationship on the first order fuzzy time series. This technique can improve the accuracy and reduces a number of not-found relationships in historical time(More)
High-order fuzzy time series is a popular method to forecasting, but it has lacked convenient tools for researchers to simulate their design models. This paper is presented a new technique to develop the simulation tools on Simulink using customs s-function. This technique can separate to three modules that are fuzzifier module, forecasting module and(More)
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