Аналіз багатовимірних даних за описом у формі множини компонент
ВО Гороховатський, ІС Творошенко - 2022 - openarchive.nure.ua
Анотація У монографії розвиваються структурні технології аналізу багатовимірних
даних в інтелектуальних системах. Основна увага приділяється ансамблевим моделям …
даних в інтелектуальних системах. Основна увага приділяється ансамблевим моделям …
Effective tuning of membership function parameters in fuzzy systems based on multi-valued interval logic
IS Tvoroshenko… - … and Radio Engineering, 2020 - dl.begellhouse.com
The problem of increasing the efficiency of decision making regarding the state of a
biophysical object is solved with the use of the computing intelligence apparatus. The …
biophysical object is solved with the use of the computing intelligence apparatus. The …
A hybrid fuzzy feature selection algorithm for high-dimensional regression problems: An mRMR-based framework
F Aghaeipoor, MM Javidi - Expert Systems with Applications, 2020 - Elsevier
One of the most important factors affecting the interpretability of Fuzzy Rule-Based Systems
(FRBSs) is the number of features used Indeed, the employment of a large number of …
(FRBSs) is the number of features used Indeed, the employment of a large number of …
The interpretability and scalability of linguistic-rule-based systems for solving regression problems
CH Nguyen, D Du Nguyen, DP Pham - International Journal of …, 2022 - Elsevier
This study applies the idea of computing with words to develop an advanced genetic method
to design the Linguistic Rule Base Systems (LRBSs) from a given dataset to solve the …
to design the Linguistic Rule Base Systems (LRBSs) from a given dataset to solve the …
Hemodynamic analysis for olfactory perceptual degradation assessment using generalized type-2 fuzzy regression
Olfactory perceptual degradation (OPD) refers to the inability of people to recognize the
variation in concentration levels of olfactory stimuli. This article attempts to assess the …
variation in concentration levels of olfactory stimuli. This article attempts to assess the …
Multivariable fuzzy rule-based models and their granular generalization: A visual interpretable framework
Fuzzy rule-based models have been widely used due to their interpretability and
effectiveness. However, they still encounter challenges when dealing with multivariable and …
effectiveness. However, they still encounter challenges when dealing with multivariable and …
Design of stabilized polynomial-based ensemble fuzzy neural networks based on heterogeneous neurons and synergy of multiple techniques
C Zhang, SK Oh, Z Fu - Information Sciences, 2021 - Elsevier
In this study, a novel category of polynomial-based ensemble fuzzy neural networks
(PEFNNs) are proposed. The study is focused on the development of advanced design …
(PEFNNs) are proposed. The study is focused on the development of advanced design …
Self-organized hybrid fuzzy neural networks driven with the aid of probability-based node selection and enhanced input strategy
Polynomial neural network (PNN) is a flexible self-organizing network model, and there
have been lots of improvements to it. However, various and improved models of PNN do not …
have been lots of improvements to it. However, various and improved models of PNN do not …
基于深度学习的直觉模糊集隶属度确定方法
那日萨， 孔茸， 高欢 - 运筹与管理, 2022 - jorms.net
直觉模糊集隶属度, 非隶属度和犹豫度的确定方法是直觉模糊集理论与应用研究中一个十分重要
的问题, 其直接影响着相关方法的可扩展性及应用结果. 然而, 现有方法存在主观性强 …
的问题, 其直接影响着相关方法的可扩展性及应用结果. 然而, 现有方法存在主观性强 …
Reinforced fuzzy clustering-based rule model constructed with the aid of exponentially weighted ℓ2 regularization strategy and augmented random vector functional …
Fuzzy rule-based models are widely employed to tackle regression problems due to their
simplicity and comprehensibility. Numeric functions (eg, linear ones) are generally utilized to …
simplicity and comprehensibility. Numeric functions (eg, linear ones) are generally utilized to …