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Human inertial thinking strategy: A novel fuzzy reasoning mechanism for IoT-assisted visual monitoring
Computer vision has always been a hot field of research by contemporary scholars due to its
wide range of applications. As an important branch of this field, the visual monitoring …
wide range of applications. As an important branch of this field, the visual monitoring …
C-loss based higher order fuzzy inference systems for identifying DNA N4-methylcytosine sites
DNA methylation is an epigenetic marker that plays an important role in the biological
processes of regulating gene expression, maintaining chromatin structure, imprinting genes …
processes of regulating gene expression, maintaining chromatin structure, imprinting genes …
[HTML][HTML] Multi-correntropy fusion based fuzzy system for predicting DNA N4-methylcytosine sites
The identification of DNA N4-methylcytosine (4mC) sites is an important field of
bioinformatics. Statistical learning methods and deep learning have been applied in this …
bioinformatics. Statistical learning methods and deep learning have been applied in this …
Evaluation of factors to respond to the COVID-19 pandemic using DEMATEL and fuzzy rule-based techniques
Since social and environmental conditions have changed dramatically in recent years, the
spectrum of diseases caused by infections is also evolving rapidly. The outspread of COVID …
spectrum of diseases caused by infections is also evolving rapidly. The outspread of COVID …
Clustering method with axiomatization to support failure mode and effect analysis
Abstract Failure Mode and Effect Analysis (FMEA) is a highly structured risk-prevention
management process that improves the reliability and safety of a system. This article …
management process that improves the reliability and safety of a system. This article …
Fuzzy Neural Tangent Kernel Model for Identifying DNA N4-methylcytosine Sites
DNA N4-methylcytosine (4mC) site identification is a crucial field in bioinformatics, where
machine learning methods have been effectively utilized. Due to the presence of noise, the …
machine learning methods have been effectively utilized. Due to the presence of noise, the …
A weighted fuzzy approach for green marketing risk assessment: Empirical evidence from dairy industry
The green marketing concept encompasses the consumers' perception and response to the
green initiatives and activities that companies implement such as design for environment …
green initiatives and activities that companies implement such as design for environment …
Rule-ranking-based approximate knowledge interpolation with directional monotonicity
M Zhou, C Shang, Q Shen - IEEE Transactions on Cybernetics, 2023 - ieeexplore.ieee.org
Fuzzy rule interpolation (FRI) empowers fuzzy rule-based systems (FRBSs) with the ability to
infer, even when presented with a sparse rule base where no direct rules are applicable to a …
infer, even when presented with a sparse rule base where no direct rules are applicable to a …
On Ordered Weighted Averaging Operator and Monotone Takagi–Sugeno–Kang Fuzzy Inference Systems
The necessary and/or sufficient conditions for a Takagi–Sugeno–Kang Fuzzy Inference
System (TSK-FIS) to be monotone has been a key research direction in the last two …
System (TSK-FIS) to be monotone has been a key research direction in the last two …
[PDF][PDF] Approximate reasoning based on similarity of Z-numbers
The concept of Z-number was introduced by Zadeh in order to deal with partial reliability of
information. This conceptdescribes a fusion of fuzzy and probabilistic types of uncertainty. In …
information. This conceptdescribes a fusion of fuzzy and probabilistic types of uncertainty. In …