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American Journal of Computational and Applied Mathematics, 2012 We use princiles of fuzzy logic to develop a general model representing several processes in a system's operation characterized by a degree of vagueness and/or uncertainy.
Voskoglou, Michael Gr.
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Fuzzy modeling of complex systems
International Journal of Approximate Reasoning, 1991 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Д. Филев
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On the Pythagorean triangles with an irrational hypotenuse [PDF]
Mathematics and Computational Sciences, 2022 The paper investigates a number of incomplete exact roots of a series of natural numbers, in relation to the Pythagorean theorem that in a right-angled triangle the square of the hypotenuse is equal to the sum of the squares of the legs. It uses the fact
Tofig Aliyev, Samir Pur Riza
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An Explainable Fuzzy Framework for Assessing Preeclampsia Classification [PDF]
BiomedicinesBackground: Preeclampsia remains a leading cause of maternal morbidity worldwide. There is a critical need for predictive systems that not only perform accurately but also provide interpretable insights for clinical decision-making.
Matías Salinas +6 more
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FUZZY INFERENCE SYSTEMS BASE ON POLYNOMIAL CONSEQUENTS OF FUZZY RULES [PDF]
Scientific Journal of Astana IT University, 2020 Various fuzzy inference systems that operate on the basis of polynomial consequents of fuzzy rules. As well as inference methods for such systems, in particular, Takagi-Sugeno fuzzy inference systems, their differences from other popular fuzzy systems ...
R. Ponomarenko, A. Dyka
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Dist-YOLO: Fast Object Detection with Distance Estimation
Applied Sciences, 2022 We present a scheme of how YOLO can be improved in order to predict the absolute distance of objects using only information from a monocular camera. It is fully integrated into the original architecture by extending the prediction vectors, sharing the ...
Marek Vajgl +2 more
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Rough Semiring-Valued Fuzzy Sets with Application
Mathematics, 2022 Many of the new fuzzy structures with complete MV-algebras as value sets, such as hesitant, intuitionistic, neutrosophic, or fuzzy soft sets, can be transformed into one type of fuzzy set with values in special complete algebras, called AMV-algebras. The
Jiří Močkoř +2 more
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BBRefinement: A Universal Scheme to Improve the Precision of Box Object Detectors
Applied Sciences, 2022 We present a conceptually simple yet powerful and general scheme for refining the predictions of bounding boxes produced by an arbitrary object detector. Our approach was trained separately on single objects extracted from ground truth labels.
Petr Hurtik, Marek Vajgl, David Hynar
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Mathematics, 2021 The main goal of this publication is to show that the basic constructions in the theories of fuzzy sets, fuzzy soft sets, fuzzy hesitant sets or intuitionistic fuzzy sets have a common background, based on the theory of monads in categories. It is proven
Jiří Močkoř, David Hýnar
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Fuzzy clustering of fuzzy systems [PDF]
2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583), 2005 A fuzzy system entirely characterizes one region of the input-output product space S = U /spl times/ V through a relation expressed by a set of fuzzy rules. Effectively, the fuzzy system establishes a fuzzy map, which assigns for each input fuzzy set in U an output fuzzy set in V.
Salgado, Paulo, Garrido, Paulo
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