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 …
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 …
degrade and inevitably stops functioning. It is irreversible over time that can be labeled as …
Modeling accelerated degradation data based on the uncertain process
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 …
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
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 …
evaluations of highly reliable products. Generally speaking, the obtained ADT data are …
Random weight network-based fuzzy nonlinear regression for trapezoidal fuzzy number data
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 …
(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
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 …
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 …
to address interval-valued type-1 and type-2 fuzzy regression models. The paper focuses on …
Uncertain differential equation based accelerated degradation modeling
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 …
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 …
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
Interleaved dc-dc converters in sensitive applications necessitate an enhanced reliability. An
interleaved converter equipped with redundant components can fulfill the reliability …
interleaved converter equipped with redundant components can fulfill the reliability …