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Nov 9, 2018 · This article proposes a new method to calculate the distance between fuzzy singleton variables. It uses a measure of generalized fuzzy ...
Comparison with other classical distance measurements shows that this approach provides a consistent and reliable distance measure for the stock market ...
New Fuzzy Singleton Distance Measurement by Convolution ...
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This article proposes a new method to calculate the distance between fuzzy singleton variables. It uses a measure of generalized fuzzy numbers based.
New Fuzzy Singleton Distance Measurement by Convolution: 19th ...
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This article proposes a new method to calculate the distance between fuzzy singleton variables. It uses a measure of generalized fuzzy numbers based on the ...
Dec 21, 2020 · A new method to measure the distance between fuzzy singletons (FSNs) is presented. It first fuzzifies a crisp number to a generalized trapezoidal fuzzy number ...
Missing: Singleton | Show results with:Singleton
New Fuzzy Singleton Distance Measurement by Convolution. https://doi.org ... new similarity measure of generalized fuzzy numbers and its application to ...
A new method to measure the distance between fuzzy singletons (FSNs) is presented. It first fuzzifies a crisp number to a generalized trapezoidal fuzzy ...
Missing: Singleton | Show results with:Singleton
This article proposes a new method to calculate the distance between fuzzy singleton variables. It uses a measure of generalized fuzzy numbers based on the ...
It uses a measure of generalized fuzzy numbers based on the center of gravity. The fuzzy signals are transformed by applying convolution. To prove the ...
Jun 1, 2024 · This paper proposes a new deep convolutional interval type 2 fuzzy system (DCIT2FS) based on adaptive feature selection.
Missing: Distance | Show results with:Distance