Results 21 to 30 of about 164,645 (346)
Fuzzy implications and inference processes
IEEE 3rd International Conference on Computational Cybernetics, 2005. ICCC 2005., 2006 We define fuzzy implications in general, then study their families defined from t-norms, t-conorms and strong negations. Connections between such implications and negations are established. Some basic results are presented concerning the contrapositive symmetry property. The study gives birth to a new class of t-norms.
Tick, József, Fodor, János
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Fuzzy edge detection analysis of clinical drawing by schizophrenic patients
Journal of Human Environmental Studies, 2020 In this study, the fuzzy inference technique was applied for preprocessing the clinical drawings of schizophrenic patients. The interpretation procedure for the clinical drawings was divided into two phases, namely preprocessing and interpretation phases.
Keita Kawasugi +8 more
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Measurement + Control, 2020 The paper reports an adaptive-network-based fuzzy inference system for the measurement of axial strain using long-period fiber grating sensors. The long-period fiber grating sensor supports optical resonances, which are sensitive to the change of axial ...
Xingliu Hu +3 more
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An Approach to Building Decision Support Systems Based on an Ontology Service
Mathematics, 2021 Modern decision support systems (DSSs) need components for storing knowledge. Moreover, DSSs must support fuzzy inference to work with uncertainty.
Anton Romanov +3 more
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Prediction in Photovoltaic Power by Neural Networks [PDF]
, 2017 The ability to forecast the power produced by renewable energy plants in the short and middle term is a key issue to allow a high-level penetration of the distributed generation into the grid infrastructure. Forecasting energy production is mandatory for
Altilio, Rosa +3 more
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UWB Positioning Algorithm Based on Fuzzy Inference and Adaptive Anti-NLOS Kalman Filtering
Applied Sciences, 2022 To reduce the influence of non-line-of-sight (NLOS) errors in the ultra-wideband (UWB) positioning process, a UWB positioning algorithm based on fuzzy inference and adaptive anti-NLOS Kalman filtering (KF) was proposed in this paper.
Junkang Wu +4 more
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Identification of entrant’s abilities on the basis of Sugeno-type fuzzy inference systems
Aviation, 2022 In the conditions of effective training in aviation for dispatchers and pilots, it requires the use of infocommunication systems capable of working under conditions of fuzzy uncertainty in real time.
Svitlana Terenchuk +2 more
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Electricity consumption forecasting using Adaptive Neuro-Fuzzy Inference System (ANFIS) [PDF]
, 2019 Universiti Tun Hussein Onn Malaysia (UTHM) is a developing Malaysian Technical University. There is a great development of UTHM since its formation in 1993.
K.G., Tay +3 more
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A New Fuzzy Inference Technique for Singleton Type-2 Fuzzy Logic Systems
International Journal of Advanced Robotic Systems, 2012 A new fuzzy inference technique is presented to replace the conventional fuzzy inference process of type-2 fuzzy logic systems. Because conventional type-2 fuzzy logic systems demand a large amount of memory, they cannot be used by most embedded systems,
Hwan-Joo Kwak +2 more
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Fuzzy Bayesian Inference [PDF]
, 2009 Data are frequently not precise numbers but more or less non-precise, also called fuzzy. Moreover a-priori information in Bayesian inference is usually not available as a precise probability distribution. In case of fuzzy data and fuzzy a-priori information Bayes' theorem has to be generalized.
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