Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 26 for “"fuzzy systems"”.
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Design and analysis of fuzzy systems supported by social network analysis techniques
… and development of a new methodology for fuzzy system comprehensibility analysis based on fuzzy systems' inference maps, so-called fuzzy inference-grams, Fingrams in short. Fingrams show graphically fuzzy rule-based systems, presenting the interaction between rules at the inference level …
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Support Vector Machine-based Fuzzy Systems for Quantitative Prediction of Peptide Binding Affinity
… real-value predictive models through the use of fuzzy systems. A non-linear system is proposed with the aid of support vector-based regression to improve the fuzzy system and applied to the real value prediction of degree of peptide binding. This research study introduced two novel methods to …
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Interpretable fuzzy systems modeling with cooperation between expert and induced knowledge (Modelado de sistemas borrosos interpretables con cooperación entre conocimiento experto e inducido)
… of knowledge is likely to yield robust compact systems with a good trade-off between accuracy and interpretability. Fuzzy logic offers an integration framework where both types of knowledge are represented using the same formalism. However, as two knowledge bases may convey contradictions and/or …
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Geometric Fuzzy Logic Systems
… in academic interest in the field oftype-2 fuzzy sets and systems. Type-2 fuzzy systems offer the ability to model and reason with uncertain concepts. When faced with uncertainties type-2 fuzzy systems should, theoretically, give an increase in performance over type-l fuzzy systems. However, …
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ON FUZZY MODELING OF NONLINEAR DYNAMICAL SYSTEMS
Modeling nonlinear dynamical systems using fuzzy systems has increasingly been recognized as a distinct and important system identification paradigm. It refers to a process whereby a dynamical system is modeled not in the form of conventional differential and difference equations, but in the form …
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Fuzzy Filters for depth map smoothing
… of that noise using nonlinear filters based on fuzzy systems.<br/><br/>The depth from stereo algorithm is reviewed and a widely used correlation based matcher, the Sum Squared Difference (SSD) matcher, is introduced together with an established method of measuring sub-pixel disparities in stereo …
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Complexity reduction in fuzzy inference systems
… ever-growing processor speed, application of fuzzy technology is still hindered by rule explosion, the phenomenon in which an increase in the number of antecedents results in the exponential growth of the number of fuzzy if-then rules. As a result most contemporary fuzzy inference systems are …
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Type-2 Fuzzy Probabilistic System for Proactive Monitoring of Uncertain Data-intensive Seasonal Time Series
This research realises a type-2 fuzzy probabilistic system for proactive monitoring of uncertain data-intensive seasonal time series in both theoretical and practical implications. In this thesis, a new form of representation, J˜-plane, is proposed for concave and unnormalized type-2 fuzzy events …
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Type-2 Fuzzy Probabilistic System for Proactive Monitoring of Uncertain Data-intensive Seasonal Time Series
This research realises a type-2 fuzzy probabilistic system for proactive monitoring of uncertain data-intensive time series in both theoretical and practical implications. In this thesis, a new form of representation, J-plane, is proposed for concave and un-normalized type-2 events as well as …
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NOVEL APPROACHES FOR STATISTICAL PROCESS CONTROL CHARTS PATTERN RECOGNITION
… new approaches, neural networks and neural-fuzzy systems, to the (SPCCP) recognition. This dissertation also investigates the use of features extracted from statistical analysis for simple patterns, and wavelet analysis for concurrent patterns as the components of the input vectors. Results …
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Fuzzy Expert Systems: A More Human-Based Approach for Sensorial Evaluation of Coffee-Bean Attributes to Derive Quality Scoring
… values to evaluate the coffee bean attributes. Fuzzy systems allow an intuitive way of representing the judge's knowledge, by linguistically modeling the judge's perception of the coffee's attributes for sensorial evaluation of coffee-bean attributes to enhance the <em>Specialty Coffee …
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Mode Choice Modeling Using Artificial Neural Networks
… Techniques such as neural networks and fuzzy systems have found their way into transportation engineering. In recent years, neural networks are being used instead of regression techniques for travel demand forecasting purposes. The basic reason lies in the fact that neural networks are …
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Nature-Inspired Multi-Objective Optimisation and Transparent Knowledge Discovery via Hierarchical Fuzzy Modelling
… focus of this thesis is on a cooperative fuzzy modelling framework, which integrates transparent (interpretable) fuzzy systems with robust evolutionary computing based algorithms involving several techniques, such as data clustering, data mining, and multi-objective optimisation. …
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Piecewise Linear Control Systems
… analysis and design of piecewise linear control systems. Piecewise linear systems capture many of the most common nonlinearities in engineering systems, and they can also be used for approximation of other nonlinear systems. Several aspects of linear systems with quadratic constraints are …
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Improving risk-adjusted performance in high-frequency trading: The role of fuzzy logic systems
… trading performance of the proposed fuzzy logic models. We show that applying risk-return objective functions and accounting for transaction costs improve out-of-sample results. Our experiments identify that neuro-fuzzy models exhibit superior performance stability across multiple …
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Analysis and Development of Control Methodologies for Semi-active Suspensions
… Damper, Power Driven Damper, H∞ Robust Control, Fuzzy Logic Controller, and Inverse ANFIS. H∞ Robust Control is an advanced method that guarantees transient performance and rejects external disturbances. It is shown that H∞ with the proposed modification, has the best performance although its …
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Intelligent Decision Support Systems in Ventilation Management
… in comparison hybrid ventilation advisor systems, that could support ventilation management process, specific to lung pathology for patients ventilated in control mode. Methodology: A questionnaire was designed and circulated to Intensivists. Patient data, as defined by the questionnaire …
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Artificial Intelligence Applications in the Diagnosis of Power Transformer Incipient Faults
… (ANN, or briefly neural networks - NN), expert systems, fuzzy systems and multivariate regression. The fault diagnosis is based on dissolved gas-in-oil analysis (DGA). A literature review showed that the conventional fault diagnosis methods, i.e. the ratio methods (Rogers, Dornenburg and IEC) …
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