Fuzzy regression analysis: systematic review and bibliography

N Chukhrova, A Johannssen - Applied Soft Computing, 2019 - Elsevier
Statistical regression analysis is a powerful and reliable method to determine the impact of
one or several independent variable (s) on a dependent variable. It is the most widely used …

[HTML][HTML] Model-driven degradation modeling approaches: Investigation and review

K Rui, G Wenjun, C Yunxia - Chinese Journal of Aeronautics, 2020 - Elsevier
The second law of thermodynamics implies that any animate and inanimate systems
degrade and inevitably stops functioning. It is irreversible over time that can be labeled as …

Modeling accelerated degradation data based on the uncertain process

XY Li, JP Wu, L Liu, ML Wen… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Accelerated degradation testing (ADT) aids the reliability and lifetime evaluations for highly
reliable products. In engineering applications, the number of test items is generally small …

Uncertain accelerated degradation modeling and analysis considering epistemic uncertainties in time and unit dimension

JP Wu, R Kang, XY Li - Reliability Engineering & System Safety, 2020 - Elsevier
Accelerated degradation testing (ADT) has been widely used for the reliability and lifetime
evaluations of highly reliable products. Generally speaking, the obtained ADT data are …

Random weight network-based fuzzy nonlinear regression for trapezoidal fuzzy number data

YL He, CH Wei, H Long, RAR Ashfaq, JZ Huang - Applied soft computing, 2018 - Elsevier
This paper proposes a random weight network (RWN)-based fuzzy nonlinear regression
(FNR) model, abbreviated as TraFNR RWN, to solve the FNR problem in which both inputs …

Optimization towards sustainable development in shallow groundwater area and risk analysis

X Zhang, P Guo, W Guo, J Gong, B Luo - Agricultural Water Management, 2021 - Elsevier
The projected increasing food demand in the coming decades will require substantial water
and energy resources. Practical approaches are expected to propose to realize enhancing …

Interval-valued fuzzy regression: Philosophical and methodological issues

R Boukezzoula, D Coquin - Applied Soft Computing, 2021 - Elsevier
This paper revisits interval-valued fuzzy regression and proposes a new unified framework
to address interval-valued type-1 and type-2 fuzzy regression models. The paper focuses on …

Uncertain differential equation based accelerated degradation modeling

Z Liu, X Li, R Kang - Reliability Engineering & System Safety, 2022 - Elsevier
Due to economic and technical reasons, in accelerated degradation testing (ADT) there are
usually limited ADT data, which embody lots of epistemic uncertainties that cannot be …

Reliability measure model for electromechanical products under multiple types of uncertainties

L Li, CM Lv, ML Tseng, J Sun - Applied Soft Computing, 2018 - Elsevier
Reliability measure is a fundamental problem in reliability engineering due to the
electromechanical products should be with high performance speed and position control …

Fuzzy-logic-based Mean Time to Failure (MTTF) analysis of interleaved dc-dc converters equipped with redundant-switch configuration

T Rahimi, HK Jahan, F Blaabjerg, AS Bahman… - Applied Sciences, 2018 - mdpi.com
Interleaved dc-dc converters in sensitive applications necessitate an enhanced reliability. An
interleaved converter equipped with redundant components can fulfill the reliability …