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• W1978751402 abstract "Type reduction (TR) is one of the key components of interval type-2 fuzzy logic systems (IT2FLSs). Minimizing the computational requirements has been one of the key design criteria for developing TR algorithms. Often researchers give more rewards to computationally less expensive TR algorithms. This paper evaluates and compares five frequently used TR algorithms based on their contribution to the forecasting performance of IT2FLS models. Algorithms are judged based on the generalization power of IT2FLS models developed using them. Synthetic and real world case studies with different levels of uncertainty are considered to examine effects of TR algorithms on forecasts’ accuracies. As per obtained results, Coupland–Jonh TR algorithm leads to models with a higher and more stable forecasting performance. However, there is no obvious and consistent relationship between the widths of the type reduced set and the TR algorithm." @default.
• W1978751402 created "2016-06-24" @default.
• W1978751402 creator A5015293969 @default.
• W1978751402 creator A5059557438 @default.
• W1978751402 date "2014-04-01" @default.
• W1978751402 modified "2023-09-29" @default.
• W1978751402 title "Effects of type reduction algorithms on forecasting accuracy of IT2FLS models" @default.
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• W1978751402 doi "https://doi.org/10.1016/j.asoc.2013.12.007" @default.
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