An Investigation into the Effect of Number of Model Parameters on Performance in Type-1 and Type-2 Fuzzy Logic Systems
نویسندگان
چکیده
An investigation was carried out in which the performances of type-1 and type-2 fuzzy logic systems (FLSs) with varying number of tunable parameters were compared in their ability to predict the Mackey-Glass time series with various levels of added noise. Each of the FLSs were tuned to achieve the best possible performance using a standardised gradient descent procedure. These experiments were repeated a number of times in order to establish the mean performance of each FLS. The results show that the best performance was achieved with a type1 FLS, albeit featuring a high number of tunable parameters. A type-2 FLS with far fewer parameters achieved performance very close to the best.
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