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Improving the efficiency of using multivalued logic tools [PDF]
Scientific Reports, 2023 Multivalued logics are becoming one of the most important tools of information technology. They are in great demand for creation of artificial intelligence systems that are close to human intelligence, since the functioning of the latter cannot be ...
Ibragim E. Suleimenov +3 more
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Basic Core Fuzzy Logics and Algebraic Routley–Meyer-Style Semantics
Axioms, 2021 Recently, algebraic Routley–Meyer-style semantics was introduced for basic substructural logics. This paper extends it to fuzzy logics. First, we recall the basic substructural core fuzzy logic MIAL (Mianorm logic) and its axiomatic extensions, together ...
Eunsuk Yang
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Assessment of Technical Condition of an Accumulator Common Rail Injector by Temperature of its Units
Communications, 2021 This paper presents a method for the vehicle speed estimation with a Fuzzy Logic based algorithm. The algorithm acquires the measurements of the yaw rate, steering angle, wheel velocities and exploits a set of five Fuzzy Logics dedicated to different ...
Ildar Gabitov +5 more
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Fuzzy Logic Method for the Speed Estimation in All-Wheel Drive Electric Racing Vehicles
Communications, 2021 This paper presents a method for the vehicle speed estimation with a Fuzzy Logic based algorithm. The algorithm acquires the measurements of the yaw rate, steering angle, wheel velocities and exploits a set of five Fuzzy Logics dedicated to different ...
Angelo Bonfitto +3 more
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Pseudo-Analysis as a Tool of Information Processing
Proceedings, 2022 The theory of the pseudo-analysis is based on a special real semiring (called also tropical semiring). This theory enables a unified approach to three important problems as nonlinearity, uncertainty and optimization, with many applications.
Endre Pap
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LogicNet: probabilistic continuous logics in reconstructing gene regulatory networks
BMC Bioinformatics, 2020 Background Gene Regulatory Networks (GRNs) have been previously studied by using Boolean/multi-state logics. While the gene expression values are usually scaled into the range [0, 1], these GRN inference methods apply a threshold to discretize the data ...
Seyed Amir Malekpour +2 more
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MK-fuzzy Automata and MSO Logics [PDF]
Electronic Proceedings in Theoretical Computer Science, 2017 We introduce MK-fuzzy automata over a bimonoid K which is related to the fuzzification of the McCarthy-Kleene logic. Our automata are inspired by, and intend to contribute to, practical applications being in development in a project on runtime network ...
Manfred Droste +3 more
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Estimating IBNR claim reserves using Gaussian Fuzzy Numbers
Contextus, 2023 The study aimed to propose a new approach to the chain-ladder method using for that Gaussian Fuzzy Numbers. For that, the text introduces concepts and establishes new perspectives that allow not just the use of this kind of fuzzy number in the claim ...
Ismael Sampaio Bastos +2 more
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International Journal of Innovative Research in Information Security, 2023 Fuzzy logic is a mathematical framework for reasoning about ambiguous or inaccurate information. It is founded on the idea that truth can be stated as a degree of membership in a fuzzy set rather than as a binary value of true or untrue. Fuzzy logic is used in control systems, artificial intelligence, and decision-making. This paper defines fuzzy logic
Swathi C +3 more
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A Novel of Domination in Neutrosophic Over Graphs [PDF]
Neutrosophic Sets and Systems, 2023 The degree of data uncertainty may be measured using a variety of mathematical techniques, but neutrosophic logic is a potent instrument for analysis when compared to fuzzy and intuitionistic fuzzy logics.
R. Narmada Devi, M. Meenu, G. Muthumari
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