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 1100 for “"fuzzy"”.
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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 …
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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 …
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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 …
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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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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 …
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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 …
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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 …
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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) …
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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 …
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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 …
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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 …
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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 …
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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, …
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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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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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Monotonicity aspects of linguistic fuzzy models
… interpretable model structure sets linguistic fuzzy m models apart from other modelling techniques and is considered their greatest asset. Therefore, in the identification process of a linguistic fuzzy model, the interpretability of the model should be safeguarded or at least be balanced …
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Foundations of fuzzy answer set programming
… problems. In this thesis we therefore studied fuzzy answer set programming (FASP). FASP is a language that combines ASP with ideas from fuzzy logic -- a class of many-valued logics that are able to describe continuous problems. We study the following topics: 1. An important issue when modeling …
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A Deep Study of Fuzzy Implications
… the IMPLY operator in classical binary logic to fuzzy logic, which are called fuzzy implications. After the introduction in Chapter 1 and basic notations about the fuzzy logic operators In Chapter 2 we first characterize In Chapter 3 S- and R- implications and then extensively investigate under …
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