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In this study, fuzzy regression (FR) models with fuzzy inputs and outputs are discussed.
This work introduces a numerical algorithm to calculate frequency response functions of damped finite element models with fuzzy uncertain parameters.
Yang and Lin [48] proposed two estimation methods along with an FLS approach for considered FLR models with fuzzy inputs, fuzzy outputs and fuzzy parameters.
In this study, we have reviewed the relevant articles on Fuzzy Regression and provided an easily computation approach to estimate FR models with fuzzy input and fuzzy output.
It can be seen that our proposed approach gives better results than existing methods for FR models with fuzzy input and fuzzy output.
This work introduces a numerical algorithm to calculate frequency-response functions (FRFs) of damped finite element (FE) models with fuzzy uncertain parameters.
Similar(49)
There were also leather trousers with knits, and a vivid orange zip-front cardigan, worn by a model with fuzzy hair and glasses, which made one think the clothes would look great in an off-beat young Hollywood movie.
Now, we have a model with fuzzy constraints.
This study presents an approach to time series modeling with Fuzzy Cognitive Maps.
This paper studies a facility location model with fuzzy random parameters and its swarm intelligence approach.
Performance is evaluated by comparing finite element model with fuzzy model, and good correlation is achieved between them.
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