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Fuzzy logic systems and medical applications [PDF]
AIMS Neuroscience, 2019 The combination of Artificial Neural Networks and Fuzzy Logic Systems enables the representation of real-world problems via the creation of intelligent and adaptive systems. By adapting the interconnections between layers, Artificial Neural networks are able to learn.
Elena Vlamou, Basil Papadopoulos
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Archimedean-Compensatory Fuzzy Logic Systems [PDF]
International Journal of Computational Intelligence Systems, 2015 The paper aims to define a new kind of logic, referred to as Archimedean-Compensatory Logic, which is constructed from the unification of two different fuzzy logic systems, namely a continuous Archimedean fuzzy logic and a compensatory fuzzy logic.
Rafael A. Espin-Andrade +3 more
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Data analysis using system modeling [PDF]
E3S Web of Conferences, 2023 Expert systems are increasingly being used to format safe operations. But the functions of expert systems can perform not only assistance in making decisions, but also analyze processes and help at various stages.
Ganzhur Marina +4 more
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On the prediction of Covid-19 time series: an intuitionistic fuzzy logic approach [PDF]
Journal of Fuzzy Extension and Applications, 2021 This paper presents a time series analysis of a novel coronavirus, COVID-19, discovered in China in December 2019 using intuitionistic fuzzy logic system with neural network learning capability. Fuzzy logic systems are known to be universal approximation
Imo Eyo, Jeremiah Eyoh, Uduak Umoh
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FUZZY LOGIC SYSTEMS WITH DATA CLASSIFICATION - A COOPERATIVE APPROACH FOR INTELLIGENT DECISION SUPPORT [PDF]
ICTACT Journal on Soft Computing, 2023 In intelligent decision support, the integration of fuzzy logic systems with data classification has emerged as a promising avenue. This cooperative approach seeks to enhance decision-making processes by leveraging the strengths of both fuzzy logic and ...
A. Alagu Karthikeyan +4 more
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A Fuzzy Modal Logic for Fuzzy Transition Systems
Electronic Notes in Theoretical Computer Science, 2020 Abstract This paper intends to contribute with a new fuzzy modal logic to model and reason about transition systems involving uncertainty in behaviours. Our formalism supports fuzziness at transitions and on the proposition symbols assignment levels. Against of other approaches in the literature, our bisimulation and bisimilarity notions generalise ...
Manisha Jain +2 more
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Sustainable Closed-Loop Supply Chain Design Problem: A Hybrid Genetic Algorithm Approach
Mathematics, 2020 In this paper, we propose a solution to the sustainable closed-loop supply chain (SCLSC) design problem. Three factors (economic, environmental, and social) are considered for the problem and the three following requirements are addressed while ...
YoungSu Yun +2 more
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Model Checking Fuzzy Computation Tree Logic Based on Fuzzy Decision Processes with Cost
Entropy, 2022 In order to solve the problems in fuzzy computation tree logic model checking with cost operator, we propose a fuzzy decision process computation tree logic model checking method with cost.
Zhanyou Ma +4 more
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Inventions, 2021 This paper presents an implementation of a new robust control strategy based on an interval type-2 fuzzy logic controller (IT2-FLC) applied to the wind energy conversion system (WECS).
Ahmed Vall Hemeyine +4 more
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Hybrid Cooperative Co-Evolution Algorithm for Uncertain Vehicle Scheduling
IEEE Access, 2018 As a typical scheduling problem, the vehicle scheduling problem (VSP) plays a significant role in public transportation systems. VSP is difficult to solve, since it is classified as a high-dimensional combination optimization problem, which is well known
Lu Sun, Lin Lin, Haojie Li, Mitsuo Gen
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