The research of fuzzy decision trees building based on entropy and the theory of fuzzy sets
Collection of selected papers of the IV International Conference on Information Technology and Nanotechnology, 2018 Decision trees are widely used in the field of machine learning and artificial intelligence. Such popularity is due to the fact that with the help of decision trees graphic models, text rules can be built and they are easily understood by the final user.
Samal Begenova, Tatiana Avdeenko
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Binary classification based on a combination of rough set theory and decision trees
Innovative Technologies and Scientific Solutions for Industries, 2023 The subject of the study is to improve the accuracy and efficiency of classification algorithms using decision trees by integrating the principles of Rough Set theory, a mathematical approach to approximating sets. The aim of the study is to develop a hybrid model that integrates rough set theory with decision tree algorithms, thereby solving the ...
Dmytro Chernyshov, Dmytro Sytnikov
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Knowledge Discovery in Distance Relay Event Report: A Comparative Data-Mining Strategy of Rough Set Theory With Decision Tree [PDF]
IEEE Transactions on Power Delivery, 2010 A protective relay performance analysis is only feasible when the hypothesis of expected relay operation characteristics as decision rules is established as the knowledge base. This has been meticulously accomplished by soliciting the relay knowledge domain from protection experts who are usually constrained by their experience and expertise.
Othman, Mohammad Lutfi +4 more
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Integrating Fuzzy Set Theory with Pandora Temporal Fault Trees for Dynamic Failure Analysis of Complex Systems [PDF]
Pandora temporal fault tree, as one notable extension of the fault tree, introduces temporal gates and temporal laws. Pandora Temporal Fault Tree(TFT) enhances the capability of fault trees and enables the modeling of system failure behavior that depends on sequences.
Khungla, Hitesh, Kumar, Mohit
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About the Strange Tree Paradox and Possible Inconsistency of Set Theory
Advances in Pure Mathematics, 2023 Yury M. Volin
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, 2010 General requirements for knowledge representation in the form of logic rules, applicable to design and control of industrial processes, are formulated. Characteristic behavior of decision trees (DTs) and rough sets theory (RST) in rules extraction from recorded data is discussed and illustrated with simple examples.
Perzyk, Marcin, Soroczynski, Artur
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Overcoming the uncertainty in a research reactor LOCA in level-1 PSA; Fuzzy based fault-tree/event-tree analysis [PDF]
Journal of Optimization in Industrial Engineering, 2020 Probabilistic safety assessment (PSA) which plays a crucial role in risk evaluation is a quantitative approach intended to demonstrate how a nuclear reactor meets the safety margins as part of the licensing process.
Masoud Mohsendokht +1 more
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Meta-Tree Random Forest: Probabilistic Data-Generative Model and Bayes Optimal Prediction
Entropy, 2021 This paper deals with a prediction problem of a new targeting variable corresponding to a new explanatory variable given a training dataset. To predict the targeting variable, we consider a model tree, which is used to represent a conditional ...
Nao Dobashi +3 more
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Revisiting Call-by-value B\"ohm trees in light of their Taylor expansion [PDF]
Logical Methods in Computer Science, 2020 The call-by-value lambda calculus can be endowed with permutation rules, arising from linear logic proof-nets, having the advantage of unblocking some redexes that otherwise get stuck during the reduction.
Emma Kerinec +2 more
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Бінарна класифікація на основі поєднання теорії приблизних множин і дерев рішень
Сучасний стан наукових досліджень та технологій в промисловості, 2023 Предмет дослідження – підвищення точності та ефективності алгоритмів класифікації на основі дерев рішень за допомогою інтеграції принципів теорії приблизних множин (Rough Set), математичного підходу до апроксимації множин. Мета дослідження – розроблення
Dmytro Chernyshov, Dmytro Sytnikov
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