Human inertial thinking strategy: A novel fuzzy reasoning mechanism for IoT-assisted visual monitoring

S Liu, S Wang, X Liu, J Dai… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
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 …

C-loss based higher order fuzzy inference systems for identifying DNA N4-methylcytosine sites

Y Ding, P Tiwari, Q Zou, F Guo… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
DNA methylation is an epigenetic marker that plays an important role in the biological
processes of regulating gene expression, maintaining chromatin structure, imprinting genes …

[HTML][HTML] Multi-correntropy fusion based fuzzy system for predicting DNA N4-methylcytosine sites

Y Ding, P Tiwari, F Guo, Q Zou - Information Fusion, 2023 - Elsevier
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 …

Evaluation of factors to respond to the COVID-19 pandemic using DEMATEL and fuzzy rule-based techniques

S Asadi, M Nilashi, RA Abumalloh, S Samad… - International Journal of …, 2022 - Springer
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 …

Clustering method with axiomatization to support failure mode and effect analysis

Y Dong, S Wu, X Shi, Y Li, F Chiclana - Iise Transactions, 2023 - Taylor & Francis
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 …

Fuzzy Neural Tangent Kernel Model for Identifying DNA N4-methylcytosine Sites

Y Ding, P Tiwari, F Guo, Q Zou… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
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 …

A weighted fuzzy approach for green marketing risk assessment: Empirical evidence from dairy industry

AH Azadnia, M Geransayeh, G Onofrei… - Journal of Cleaner …, 2021 - Elsevier
The green marketing concept encompasses the consumers' perception and response to the
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 …

On Ordered Weighted Averaging Operator and Monotone Takagi–Sugeno–Kang Fuzzy Inference Systems

YW Kerk, KM Tay, CH Jong… - IEEE Transactions on …, 2025 - ieeexplore.ieee.org
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 …

[PDF][PDF] Approximate reasoning based on similarity of Z-numbers

RA Aliev, W Pedrycz, O Huseynov, R Aliyev… - Iranian Journal of Fuzzy …, 2024 - ijfs.usb.ac.ir
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 …