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Showing 1 to 20 of 1138 for “"Fuzzy"”.

  1. Fuzzy neural networks

    Since the development of computer technology, methods have been developed and investigated to mimic the processes of the human brain. The human brain is a collection of billions of neurons interconnected with each other. Interconnected neurons are modeled with artificial neural networks (ANNs or …

    tdl Repository record for Fuzzy neural networks (opens in a new tab)

  2. Fuzzy Transfer Learning

    … Two concepts, Transfer Learning (TL) and Fuzzy Logic (FL) are combined in a framework, Fuzzy Transfer Learning (FuzzyTL), to address the problem of learning tasks that have no prior direct contextual knowledge. Through the use of a FL based learning method, uncertainty that is evident in …

    de-montfort Repository record for Fuzzy Transfer Learning (opens in a new tab)

  3. Fuzzy control and an evaluation of the self-organizing fuzzy controller

    Fuzzy control is a rule based type of control that aims to imitate the human's ability to express a control policy using linguistic rules, and to reason using those rules to control a system. Fuzzy control is nonlinear and not dependent on a precise mathematical description of the plant, and is …

    vt Repository record for Fuzzy control and an evaluation of the self-organizing fuzzy controller (opens in a new tab)

  4. Dynamic fuzzy pattern recognition

    … of unsupervised learning and takes advantage of fuzzy set theory which provides a unique mechanism for gradual assignment of objects to clusters and allows to detect a gradual temporal transition of objects between clusters. Another topic addressed in this book is the definition of similarity …

    aachen Repository record for Dynamic fuzzy pattern recognition (opens in a new tab)

  5. 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, …

    de-montfort Repository record for Geometric Fuzzy Logic Systems (opens in a new tab)

  6. Fuzzy techniques for noise removal in image sequences and interval-valued fuzzy mathematical morphology

    … becomes necessary. After an introduction to fuzzy set theory and image processing, in the first main part of the thesis, several fuzzy logic based video filters are proposed: one filter for grayscale video sequences corrupted by additive Gaussian noise and two color extensions of it and two …

    ghent Repository record for Fuzzy techniques for noise removal in image sequences and interval-valued fuzzy mathematical morphology (opens in a new tab)

  7. FUZZY METHODS FOR OBJECT RECOGNITION

    The objective of this thesis is to propose fuzzy methods for object recognition. By integrating the pyramid structure and fuzzy set theory, we develop a fuzzy pyramid scheme within which we can achieve automatic object recognition invariant to scale, translation, rotation and distortions. There are …

    nus Repository record for FUZZY METHODS FOR OBJECT RECOGNITION (opens in a new tab)

  8. L-Fuzzy Relations in Coq

    … framework for expressing and reasoning about fuzzy relations and programs based on those methods. In this thesis we present an implementation of Heyting and arrow categories suitable for reasoning and program execution using Coq, an interactive theorem prover based on Higher-Order Logic (HOL) …

    brock Repository record for L-Fuzzy Relations in Coq (opens in a new tab)

  9. Type-2 Fuzzy Alpha-cuts

    Systems that utilise type-2 fuzzy sets to handle uncertainty have not been implemented in real world applications unlike the astonishing number of applications involving standard fuzzy sets. The main reason behind this is the complex mathematical nature of type-2 fuzzy sets which is the source of …

    de-montfort Repository record for Type-2 Fuzzy Alpha-cuts (opens in a new tab)

  10. Improvisation of fuzzy c-means method and fuzzy linear regression model in predicting manufacturing income

    … within the data have to be dealt with. Thus, fuzzy structure system is considered. The objectives of this study were to: determine suitable cluster for predicting manufacturing income by using fuzzy c-means (FCM) method, apply existing methods such as multiple linear regression (MLR) and fuzzy

    uthm Repository record for Improvisation of fuzzy c-means method and fuzzy linear regression model in predicting manufacturing income (opens in a new tab)

  11. Design and Optimization of Intelligent PI Controllers (Fuzzy and Neuro-Fuzzy) for HVDC Transmission System

    … thesis deals with enhancing the performance of Fuzzy Logic (FL) based PI controllers for High Voltage Direct Current Transmission Systems (HVDC) by optimizing the key parameters i.e. membership functions (MFs) and fuzzy rule base in the controllers design. In the first part of the thesis, an …

    uoit Repository record for Design and Optimization of Intelligent PI Controllers (Fuzzy and Neuro-Fuzzy) for HVDC Transmission System (opens in a new tab)

  12. Construction of fuzzy control charts by using triangular and gaussian fuzzy numbers for solder paste thickness

    … conditions. This study aims to generate fuzzy numbers by using triangular and Gaussian approaches and to analyse the algorithm of fuzzy control charts by using α-cut and to analyse the algorithm of traditional control charts of -R and -S towards the solder paste thickness of integrated …

    uthm Repository record for Construction of fuzzy control charts by using triangular and gaussian fuzzy numbers for solder paste thickness (opens in a new tab)

  13. Neuro-Fuzzy Forecasting of Tourist Arrivals

    … a combination of artificial neural networks and fuzzy logic and compares the performance of this forecasting model with forecasts from other quantitative forecasting methods namely, the multi-layer perceptron neural network model, the error correction model, the basic structural model, the …

    vu-aus Repository record for Neuro-Fuzzy Forecasting of Tourist Arrivals (opens in a new tab)

  14. Characteristics of Fuzzy Social Choice Functions

    … paper considers the strategic manipulation of fuzzy social choice functions where both individuals and groups can choose alternatives to various degrees. Past efforts to model fuzzy social choice and strategic manipulation have allowed individual preferences to be fuzzy but still required …

    creighton Repository record for Characteristics of Fuzzy Social Choice Functions (opens in a new tab)

  15. Learning lost temporal fuzzy association rules

    Fuzzy association rule mining discovers patterns in transactions, such as shopping baskets in a supermarket, or Web page accesses by a visitor to a Web site. Temporal patterns can be present in fuzzy association rules because the underlying process generating the data can be dynamic. However, …

    de-montfort Repository record for Learning lost temporal fuzzy association rules (opens in a new tab)

  16. 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 …

    washington Repository record for Complexity reduction in fuzzy inference systems (opens in a new tab)

  17. 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 …

    southwales Repository record for Fuzzy Filters for depth map smoothing (opens in a new tab)

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