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100 results found.

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Evolving fuzzy systems : A new strategy for rule semantics preservation
Text / resource
Text / resource
Osella Massa, Germán Leandro et al · SEDICI UNLP · 2005
Fuzzy rule-based systems have proved to be a convenient tool for modeling complex systems. This is due to their capacity to capture their typical imprecision, which makes classical methods inefficient. At present, Fuzzy...
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Open Access
Advances in Fuzzy Systems
Article
Article
Wiley; United Kingdom · ISSN 1687-7101
Subjects / keywords: fuzzy systems; Technology: Electrical engineering. Electronics. Nuclear engineering; Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
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QoS and QoE Aware Routing Protocol for Flying Ad-Hoc Surveillance Networks Using Fuzzy Inference Systems
Article
Article
Jorge Souza et al · Sociedade Brasileira de Microondas e Optoeletrônica e Sociedade Brasileira de Eletromagnetismo · 2020 · ISSN 2179-1074
Abstract The Flying Ad-hoc Network (FANET) networks have often operated in regions that are difficult to reach and have no fixed infrastructure. The use of devices such as Unmanned Aerial Vehicles (UAV) enable aerial net...
LCC LCC:Electrical engineering. Electronics. Nuclear engineeringIdioma English
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A hybrid fuzzy AHP-TOPSIS model for strategic decision-making in agroecological food systems
Article
Article
Saeed Mahmoudi et al · Elsevier · 2026 · ISSN 2665-9727
This study presents a decision-making framework using the fuzzy AHP-TOPSIS model to evaluate innovative agroecological and sustainable intensification approaches for strategic Food Security and Nutrition (FSN) management...
LCC TENDOkVudmlyb25tZW50YWwgc2NpZW5jZXM~Idioma English
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Transactions on Fuzzy Sets and Systems
Article
Article
Islamic Azad University, Bandar Abbas Branch · ISSN 2821-0131
Subjects / keywords: Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
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Fuzzy identification of systems and its applications to modeling and control
Article
Article
Tomohiro Takagi; Michio Sugeno · IEEE Transactions on Systems Man and Cybernetics · 1985
A mathematical tool to build a fuzzy model of a system where fuzzy implications and reasoning are used is presented in this paper. The premise of an implication is the description of fuzzy subspace of inputs and its cons...
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Fuzzy logic in control systems: fuzzy logic controller. I
Article
Article
C.C. Lee · IEEE Transactions on Systems Man and Cybernetics · 1990
The fuzzy logic controller (FLC) provides a means of converting a linguistic control strategy. A survey of the FLC is presented, and a general methodology for constructing an FLC and assessing its performance is describe...
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Fuzzy Sets and Systems - Theory and Applications
Book
Book
Didier Dubois; Henri Prade · Mathematics in Science and Engineering/Mathematics in science and engineering · 1980
Subjects / keywords: Fuzzy logic; Computer science; Fuzzy set; Artificial intelligence; Operations research; Mathematics
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Applied Neural Networks and Fuzzy Logic in Power Electronics, Motor Drives, Renewable Energy Systems and Smart Grids
Book
Book
MDPI - Multidisciplinary Digital Publishing Institute · ISBN 9783039433346;9783039433353
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Transactions on Fuzzy Sets and Systems
Article
Article
Islamic Azad University, Bandar Abbas Branch; Iran, Islamic Republic of · ISSN 2821-0131
Subjects / keywords: algebraic logic, boolean-valued fuzzy sets, fuzzy model theory, l-fuzzy sets, rough sets, states of fuzzy structures; Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics....
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A study of prior knowledge insertion in evolutionary fuzzy recurrent controllers design
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Text / resource
Apolloni, Javier et al · SEDICI UNLP · 2005
A fuzzy controller is usually designed by formulating the knowledge of a human expert into a set of linguistic variables and fuzzy rules. As it is well known, the use of prior knowledge can dramatically improve the perfo...
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An architecture for fuzzy logic controllers evolution and learning in microcontrollers based environments
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Kavka, Carlos et al · SEDICI UNLP · 2003
The growing number of control models based on combinations of neural networks, fuzzy systems and evolutionary algorithms shows that they represent a flexible and powerful approach. However, most of these models assume th...
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