[HTML][HTML] Systematic review of MCDM approach applied to the medical case studies of COVID-19: trends, bibliographic analysis, challenges, motivations …
When COVID-19 spread in China in December 2019, thousands of studies have focused on
this pandemic. Each presents a unique perspective that reflects the pandemic's main …
this pandemic. Each presents a unique perspective that reflects the pandemic's main …
[HTML][HTML] A fuzzy sustainable model for COVID-19 medical waste supply chain network
The COVID-19 has placed pandemic modeling at the forefront of the whole world's public
policymaking. Nonetheless, forecasting and modeling the COVID-19 medical waste with a …
policymaking. Nonetheless, forecasting and modeling the COVID-19 medical waste with a …
[HTML][HTML] A Survey on Type-3 Fuzzy Logic Systems and Their Control Applications
In this paper, we offer a review o. lpe-3 fuzzy logic systems and their applications in control.
The main objective of this work is to observe and analyze in detail the applications in the …
The main objective of this work is to observe and analyze in detail the applications in the …
[HTML][HTML] An innovative ensemble model based on deep learning for predicting COVID-19 infection
X Su, Y Sun, H Liu, Q Lang, Y Zhang, J Zhang… - Scientific Reports, 2023 - nature.com
Nowadays, global public health crises are occurring more frequently, and accurate
prediction of these diseases can reduce the burden on the healthcare system. Taking …
prediction of these diseases can reduce the burden on the healthcare system. Taking …
Small samples noise prediction of train electric traction system fan based on a multiple regression-fuzzy neural network
T Li, X Wu, Y He, X Peng, J Yang, R Ding… - Engineering Applications of …, 2023 - Elsevier
The fan noise in the train electric traction system contributes to the main noise of the train,
affecting the comfort of the passengers. The prediction of fan noise can serve as a …
affecting the comfort of the passengers. The prediction of fan noise can serve as a …
Hybrid learning-oriented approaches for predicting Covid-19 time series data: A comparative analytical study
Using medical science alongside time series data analysis can be given a strong tool to
develop efficient decision support systems in Corona pandemic. In this regard, many hybrid …
develop efficient decision support systems in Corona pandemic. In this regard, many hybrid …
Aggregation operators of quadripartitioned single-valued neutrosophic Z-numbers with applications to diverse COVID-19 scenarios
Z-number, proposed by Zadeh is an ordered pair of fuzzy numbers which have the capability
to depict both the reliability and certainty of any available information. Likewise, based upon …
to depict both the reliability and certainty of any available information. Likewise, based upon …
A new method for the design of interval type-3 fuzzy logic systems with uncertain type-2 non-singleton inputs (IT3 NSFLS-2): a case study in a hot strip mill
GM Mendez, I Lopez-Juarez… - IEEE …, 2023 - ieeexplore.ieee.org
This paper presents a new method for the construction and training of interval type-3 fuzzy
logic systems whose inputs are uncertain type-2 non-singleton numbers (IT3 NSFLS-2). The …
logic systems whose inputs are uncertain type-2 non-singleton numbers (IT3 NSFLS-2). The …
[HTML][HTML] A new type-3 fuzzy predictive approach for mobile robots
G Hua, F Wang, J Zhang, KA Alattas… - Mathematics, 2022 - mdpi.com
Wheeled mobile robots are widely used for their excellent mobility and high maneuverability.
The intelligentization of mobile robots to perform autonomous movement is one of the …
The intelligentization of mobile robots to perform autonomous movement is one of the …
[HTML][HTML] A novel deep belief network architecture with interval type-2 fuzzy set based uncertain parameters towards enhanced learning
This paper proposes a novel Deep Belief Network (DBN) architecture, the 'Interval Type-2
Fuzzy DBN (IT2FDBN)', which models the weights and biases with IT2 FSs. Thus, it …
Fuzzy DBN (IT2FDBN)', which models the weights and biases with IT2 FSs. Thus, it …