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 396 for “"Fuzzy logic"”.
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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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Design Optimization of Fuzzy Logic Systems
Fuzzy logic systems are widely used for control, system identification, and pattern recognition problems. In order to maximize their performance, it is often necessary to undertake a design optimization process in which the adjustable parameters defining a particular fuzzy system are tuned to …
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Exploration of Emotion Modelling Through Fuzzy Logic
… with the exploration of representing psychologically grounded theories of emotion through fuzzy logic systems. It presents an introduction to the specific goals of the project, followed by an overview of the wider, multi-disciplinary field of emotion representation. Two emotion theories are …
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Source code security analysis and fuzzy logic
… will attempt to describe the framework for a fuzzy logic code analysis tool that determines the relative security of the application while it is being developed. The tool, if built, will aid developers in their design and implementation processes and will allow for stronger and more secure …
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Applying fuzzy logic to stock price prediction
… using the subtractive clustering based fuzzy system identification method, the Sugeno type reasoning mechanism, and candlestick chart analysis. Candlestick chart analysis shows that if a certain pattern of prices occurs in the market, then the stock price will increase or decrease. …
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Fuzzy Logic, Genetic Algorithms and Next-State Models
The construction of networks that model biological activities is an important open question. In this thesis, we explore the modeling of biological networks using Fuzzy Logic. Fuzzy Logic models allow for genes to not only be on or off but also be partially on or partially off. The models we …
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Planitia : a real-time fuzzy-logic tilt controller
Cybernetics and Systems Science are inter-disciplinary sciences that tend to focus on the complex systems such as organisms, ecologies, minds, societies, and machines. Cybernetic systems are regarded as complex structures which are built over underlying laws and principles that can be used to unify …
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Type-2 Fuzzy Logic: Circumventing the Defuzzification Bottleneck
Type-2 fuzzy inferencing for generalised, discretised type-2 fuzzy sets has been impeded by the computational complexity of the defuzzification stage of the fuzzy inferencing system. Indeed this stage is so complex computationally that it has come to be known as the defuzzification bottleneck. The …
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Navigational fuzzy logic control of an autonomous vehicle
… various model and environmental uncertainties, fuzzy logic is used in designing the vehicle's controller. The controller evaluates sensor information and outputs signals to change the vehicle's steering and throttle angles. To emulate human behavior, the controller is divided into separate …
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A REGION-SENSITIVE FUZZY LOGIC CONTROLLER FOR pH
… to a host of control strategies. In recent years fuzzy logic has been employed successfully to pH control (e.g., Galluzzo et al., 1991, Parekh et al., 1994 and Tan et al., 1996). The advantages of a controller based on fuzzy logic are that it is nonlinear and does not require an analytical model …
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Implementing adaptive fuzzy logic controllers with neural networks.
… presents an efficient approach that combines fuzzy logic and neural networks to capture these two important features required for an intelligent control system. A design method for adaptive neuro-fuzzy controllers has been proposed using structured neuro-fuzzy networks. The structured …
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Neural networks and fuzzy logic for structural control
… adjustability acquired through utilization of fuzzy logic. This method is classified as a ""learning control method"" with emphasis on the important role of the learning capabilities of the controller. However it can be classified as a smart or an intelligent control method too. This method has …
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A branching fuzzy-logic classifier for building optimization
… of the classification may be improved by using a fuzzy preference relation to classify input configurations that are not well handled by the linear discriminant.
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Applications of fuzzy logic to mechanical reliability analysis
In this work, fuzzy sets are used to express data or model uncertainty in structural systems where random numbers used to be utilized.
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Power system stabilisers using fuzzy logic and neural networks
This thesis investigates the use of fuzzy logic and neural networks in the design of power system stabilisers.
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