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 19 of 19 for “"Fuzzy inference systems"”.
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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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Perception and sensor fusion in environments with uncertainty using Fuzzy Inference Systems
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2027-05-01
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Fuzzy inference systems for iris biometrics to reduce search time in large databases
… process. We propose the use of an adaptive neuro-fuzzy inference system to implement this idea. In addition to the adaptive neuro-fuzzy inference system, we also used the subtractive clustering technique to create membership functions that helped us compare how each iris' texture features were …
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Development and analysis of hybrid adaptive neuro-fuzzy inference systems for the recognition of weak signals preceding earthquakes
… work described in this thesis incorporates neuro-fuzzy technology for the reliable recognition of EEP signals within the electric field. Neuro-fuzzy networks are neural networks with intrinsic fuzzy logic abilities, i.e. the weights of the neurons in the network define the premise and consequent …
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Online and offline training for adaptive neuro-fuzzy inference systems using deep and reinforcement learning with hierarchical rule-base reduction
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-11 without embargo terms
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Economic Order Quantity (EOQ) Measurement Using Intelligent Systems Techniques
Progressively, Intelligent Systems (IS) techniques have been used to reduce the uncertainty in complex problems. Because Intelligent Systems can be taught and predict the results, operations’ knowledge can be implemented into the systems. This Thesis is related to the application of Intelligent …
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Overall Equipment Effectiveness and overall Line Efficiency Measurement using Intelligent Systems Techniques
Increasingly, Intelligent Systems (IS) techniques are being used to solve both complex problems and problems with uncertainty. They also can implement the operator‟s knowledge (experience) into the system. This research aims to evaluate the well-known manufacturing metrics: the Overall Equipment …
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Lower respiratory system disease (LRSD) diagnosis using fuzzy inference system
… System consists of 3 three properly connected Fuzzy Inference Systems (FISs) based on the supplied information and parameters using a user-friendly interface. A list of common symptoms has been drawn precisely from expert’s advice and information posted on medical websites for more simplicity …
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An Intelligent System Model for Diagnostic of Human Pancreatic Cancer
… Age, Sex, and Race. This Thesis provides a Fuzzy Logic approach to develop a risk evaluation Intelligent System for Pancreatic Cancer. Fuzzy Logic is a modern approach to deal with uncertainty. Pancreatic Cancer is the most uncertain disease due to its asymptomatic nature and Fuzzy Logic …
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Improvement of fuzzy neural network using mine blast algorithm for classification of Malaysian Small Medium Enterprises based on strength
Fuzzy Neural Networks (FNNs) with the integration of fuzzy logic, neural networks and optimization techniques have not only solved the issue of “black box” in Artificial Neural Networks (ANNs) but also have been effective in a wide variety of real-world applications. Despite of attracting …
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Modelos avanzados para la predicción a corto plazo de la producción eléctrica en parques eólicos
The penetration of wind farms into the power systems (nearly 9% of the electric energy consumed in Spain in 2006 was generated in wind farms) requires effective short-term forecasting tools of the electrical production in these plants. These tools are needed by the electric network Operator and by …
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Design, Development, and Human Analogous Control of a Climbing Robot
… including Artificial Neural Networks (ANN), Fuzzy Logic Control (FLC), and the Adaptive Neuro-Fuzzy Inference Systems (ANFIS), a novel human-analogous control strategy based on ANFIS was implemented to control the position of the robot climbing a straight pole against gravity. The design …
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Initiation of Particle Movement in Turbulent Open Channel Flow
… statistical tools, a number of Adaptive Neuro-Fuzzy Inference Systems employing different input representations are used to learn the nonlinear dynamics of the system and perform statistical prediction. The performance of these models is assessed in terms of their broad validity, efficiency and …
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Robotic Olfactory-Based Navigation with Mobile Robots
… <p><em>A. Adaptive Bio-inspired Navigation via Fuzzy Inference Systems.</em></p> <p><em></em>In nature, animals use olfaction to perform many life-essential activities, such as homing, foraging, mate-seeking, and evading predators. Inspired by the mate-seeking behaviors of male moths, this …
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Structural control optimisation and health monitoring using newly developed techniques
… vehicles, structures, buildings and dynamic systems. The resulting unpleasant motions and the dynamic stresses may lead to fatigue and failure of the structure or machines. In the field of civil engineering, control and identification of the state of health of the structure during the dynamic …
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A holistic approach to assessment of value of information (VOI) with fuzzy data and decision criteria. [Thesis]
… to crisp values of the data. Thirdly, a fuzzy inference system is developed for making the value of information assessment, capturing the decision-making human logic into the assessment process and integrating several financial parameters into one. The proposed methodology is applied to a …
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Retrieval of grassland biophysical parameters using multitemporal optical and radar satellite data
… biomass using multiple linear regression, Neuro Fuzzy Inference Systems (ANFIS) models. The results demonstrate that a dense (8-day composite) MODIS image time series, along with high quality in situ data, can be used to retrieve grassland biomass with high performance (R2 = 0:86; p < 0:05, RMSE …
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An evolutionary AI-based decision support system for urban regeneration planning
… The work develops an Adaptive Network Based Fuzzy Inference System (ANFIS) based module to assess neighbourhood districts for various deprivation factors. Additionally an evolutionary genetic algorithms based solution is implemented to optimize various urban regeneration layouts based upon …
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Konzistentan neuro-fazi sistem zaključivanja
Veliki broj autora smatra da velike mogućnosti ekspertskih sistema leže u hibridnim modelima, što su ovi sistemi i dokazali u praksi. Motivisan time, predloženi model sistema u osnovi predstavlja integraciju neuronskih mreža i fazi sistema, čime se bolje koriste dobre strane oba pristupa. Polazna …