Results 251 to 260 of about 96,386 (319)

A principled approach to fuzzy rule base interpolation using similarity relations

, 2005
Bernadette Bouchon‐Meunier, Francesc Esteva, Lluı́s Godo, Maria Rifqi, Sandra Sandri   +4 more
openalex   +1 more source

Degradation-Aware Multi-Stage Fusion for Underwater Image Enhancement. [PDF]

J Imaging
Xie L, Chen H, Shu J.
europepmc   +1 more source

Hybrid ConvNeXtV2-ViT Architecture with Ontology-Driven Explainability and Out-of-Distribution Awareness for Transparent Chest X-Ray Diagnosis. [PDF]

Diagnostics (Basel)
Almughamisi N, Abosamra G, Albar A, Saleh M.   +3 more
europepmc   +1 more source

Enhancing Medical Image Segmentation and Classification Using a Fuzzy-Driven Method. [PDF]

Sensors (Basel)
Abduvaitov A, Shavkatovich Buriboev A, Sultanov D, Buriboev S, Yusupov O, Jasur K, Choi AJ.   +6 more
europepmc   +1 more source

Studies on Interpolative Fuzzy Reasoning and Fuzzy Rule Generation

Journal of Japan Society for Fuzzy Theory and Systems, 1997
openaire   +1 more source

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Density-based approach for fuzzy rule interpolation

Applied Soft Computing Journal, 2023
Fei Gao
exaly   +3 more sources

Fuzzy Rule Interpolation with a Transformed Rule Base

2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2021
Traditional fuzzy rule interpolation (FRI) methods typically utilise Euclidean distances between an observation and the rules in a given sparse rule base to select a set of rules closest to the observation to perform interpolation. However, simply applying the Euclidean distance metric may frequently lead to inferior results, because it cannot take ...
Mou Zhou, Changjing Shang, Guobin Li, Shangzhu Jin, Jun Peng 0008, Qiang Shen 0001   +5 more
openaire   +2 more sources

Towards Rule-ranking Based Fuzzy Rule Interpolation

2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2021
Recently proposed methods of TSK inference extension (TSK+) and K closest rules based TSK (KCR) are able to potentially perform fuzzy rule-based inference with a sparse rule base, for regression problems. However, in certain real-world applications, observations may be rather far away from any rules that may be fired in order to implement the required ...
Mou Zhou, Changjing Shang, Pu Zhang, Guobin Li, Shangzhu Jin, Jun Peng 0008, Qiang Shen 0001   +6 more
openaire   +2 more sources