[HTML][HTML] A fuzzy FMEA assessment of hydroelectric earth dam failure modes: A case study in Central Brazil

JR Ribas, JCR Severo, LF Guimarães, KPC Perpetuo - Energy Reports, 2021 - Elsevier
The good operating practices of hydroelectric plants with earth dams recommend that
continuous monitoring of the construction elements should be carried out to ensure their …

Measures of uncertainty based on Gaussian kernel for a fully fuzzy information system

Z Li, X Liu, J Dai, J Chen, H Fujita - Knowledge-Based Systems, 2020 - Elsevier
The uncertainty of information plays an important role in practical applications, so how to
capture the uncertainty of information systems becomes more and more popular. Uncertainty …

A method of defuzzification based on the approach of areas' ratio

MV Bobyr, NA Milostnaya, SA Kulabuhov - Applied soft computing, 2017 - Elsevier
The new method of defuzzification of output parameters from the base of fuzzy rules for a
Mamdani fuzzy controller is given in the paper. The peculiarity of the method is the usage of …

Design of fuzzy rule-based models with fuzzy relational factorization

E Hanyu, Y Cui, W Pedrycz, AR Fayek, Z Li… - Expert Systems with …, 2022 - Elsevier
This study opens an original avenue of designing interpretable fuzzy rule-based models
realized in the presence of data characterized by a large number of attributes (input …

On modeling of data-driven monotone zero-order TSK fuzzy inference systems using a system identification framework

CY Teh, YW Kerk, KM Tay… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
A system identification-based framework is used to develop monotone fuzzy If-Then rules for
formulating monotone zero-order Takagi-Sugeno-Kang (TSK) fuzzy inference systems (FISs) …

Fuzzy information systems and their homomorphisms

C Wang, D Chen, Q Hu - Fuzzy Sets and Systems, 2014 - Elsevier
With the arrival of the information age, information acquisition and communication have
become more and more important in the field of information technology. This paper uses the …

A weighted inference engine based on interval-valued fuzzy relational theory

CK Lim, CS Chan - Expert Systems with Applications, 2015 - Elsevier
The study of fuzzy relations forms an important fundamental of fuzzy reasoning. Among all,
the research on compositional fuzzy relations by Bandler and Kohout, or the Bandler …

The⊛-composition of fuzzy implications: Closures with respect to properties, powers and families

NR Vemuri, B Jayaram - Fuzzy Sets and Systems, 2015 - Elsevier
Abstract Recently, Vemuri and Jayaram proposed a novel method of generating fuzzy
implications from a given pair of fuzzy implications. Viewing this as a binary operation⊛ on …

Design of rule-based models through information granulation

J Kerr-Wilson, W Pedrycz - Expert Systems with Applications, 2016 - Elsevier
In this study, we explore the combination of two well defined topics in fuzzy systems
research: fuzzy rule based systems, and information granulation. Rule based systems are a …

Interval type-2 neuro-fuzzy system with implication-based inference mechanism

K Siminski - Expert Systems with Applications, 2017 - Elsevier
Neuro-fuzzy systems have been proved to be an efficient tool for modelling real life systems.
They are precise and have ability to generalise knowledge from presented data. Neuro …