Дисертації з теми "Fuzzy logic theory"
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Peters, Barry. "Stable fuzzy logic controllers for uncertain dynamic systems." Thesis, Georgia Institute of Technology, 1993. http://hdl.handle.net/1853/18223.
Повний текст джерелаWang, Haibin. "Interval neutrosophic sets and logic theory and applications in computing /." unrestricted, 2005. http://etd.gsu.edu/theses/available/etd-11172005-131340/.
Повний текст джерела1 electronic text (119 p. : ill.) : digital, PDF file. Title from title screen. Rajshekhar Sunderraman, committee chair; Yan-Qing Zhang, Anu Bourgeois, Lifeng Ding, committee members. Description based on contents viewed Apr. 3, 2007. Includes bibliographical references (p. 112-119).
Al-Assaf, Y. "Self-tuning control : Theory and applications." Thesis, University of Oxford, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.235033.
Повний текст джерелаWang, Haibin. "Interval Neutrosophic Sets and Logic: Theory and Applications in Computing." Digital Archive @ GSU, 2006. http://digitalarchive.gsu.edu/cs_diss/2.
Повний текст джерелаPolkinghorne, Martyn Neal. "A self-organising fuzzy logic autopilot for small vessels." Thesis, University of Plymouth, 1994. http://hdl.handle.net/10026.1/1100.
Повний текст джерелаJin, Gang-Gyoo. "Intelligent fuzzy logic control of processes with time delays." Thesis, Cardiff University, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.388058.
Повний текст джерелаRibeiro, Maria Rita Sarmento de Almeida. "Application of support logic theory to fuzzy multiple attribute decision problems." Thesis, University of Bristol, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.357891.
Повний текст джерелаHill, Carla. "Mass assignments for inductive logic programming." Thesis, University of Bristol, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.325748.
Повний текст джерелаGuyot, Nicolas E. "Fuzzy logic and utility theory for multiobjective optimization of automotive joints." Thesis, This resource online, 1996. http://scholar.lib.vt.edu/theses/available/etd-08292008-063415/.
Повний текст джерелаOrnelas, Gilbert. "Set-valued extensions of fuzzy logic classification theorems /." To access this resource online via ProQuest Dissertations and Theses @ UTEP, 2007. http://0-proquest.umi.com.lib.utep.edu/login?COPT=REJTPTU0YmImSU5UPTAmVkVSPTI=&clientId=2515.
Повний текст джерелаChou, Te-Shun. "Ensemble Fuzzy Belief Intrusion Detection Design." FIU Digital Commons, 2007. http://digitalcommons.fiu.edu/etd/6.
Повний текст джерелаCoyne, Mark R. "Handling uncertainty in knowledge based systems using the theory of mass assignments." Thesis, University of Bristol, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.357899.
Повний текст джерелаKar, Tapas Ranjan. "Fuzzy logic-based fault diagnosis for mining equipment failures." Thesis, Virginia Tech, 1989. http://hdl.handle.net/10919/43090.
Повний текст джерелаMaster of Science
Shi, Shengli. "On reasoning with uncertainty and belief change." Thesis, University of Ulster, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.339316.
Повний текст джерелаKonecny, Jan. "Isotone fuzzy Galois connections and their applications in formal concept analysis." Diss., Online access via UMI:, 2009.
Знайти повний текст джерелаIncludes bibliographical references.
Khor, Sebastian W. "A fuzzy knowledge map framework for knowledge representation /." Access via Murdoch University Digital Theses Project, 2006. http://wwwlib.murdoch.edu.au/adt/browse/view/adt-MU20070822.32701.
Повний текст джерелаDarwin, John Anthony. "Complexity theory and fuzzy logic in strategic management : searching the pattern that connects." Thesis, Sheffield Hallam University, 1998. http://shura.shu.ac.uk/3827/.
Повний текст джерелаFarinWata, Shehu Saíd. "Performance assessment of fuzzy logic control systems via stability and robustness measures." Diss., Georgia Institute of Technology, 1993. http://hdl.handle.net/1853/14797.
Повний текст джерелаJanhuba, Luboš. "The Integrated Method Utilizing Graph Theory and Fuzzy Logic for Safety and Reliability Assessment." Doctoral thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2018. http://www.nusl.cz/ntk/nusl-387740.
Повний текст джерелаLopez-Juarez, Ismael. "On-line learning for robotic assembly using artificial neural networks and contact force sensing." Thesis, Nottingham Trent University, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.310849.
Повний текст джерелаGhwanmeh, Sameh Hussein. "The investigation of on-line self-learning fuzzy logic control for non-linear processes." Thesis, Liverpool John Moores University, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.337808.
Повний текст джерелаVakhovitch, D. "Methodical foundations of analysis of environmental safety with the use of the fuzzy logic theory." Thesis, Sumy State University, 2017. http://essuir.sumdu.edu.ua/handle/123456789/64870.
Повний текст джерелаRalbovský, Martin. "Fuzzy GUHA." Doctoral thesis, Vysoká škola ekonomická v Praze, 2006. http://www.nusl.cz/ntk/nusl-77047.
Повний текст джерелаRybalka, A. I., A. S. Kutsenko, and S. V. Kovalenko. "Modelling of an automated food quality assessment system based on fuzzy inference." Thesis, Харківський національний університет радіоелектроніки, 2020. http://openarchive.nure.ua/handle/document/14769.
Повний текст джерелаMok, Tsz-kin, and 莫子建. "Modeling, analysis and control design for the UPFC with fuzzy theory and genetic algorithm application." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2000. http://hub.hku.hk/bib/B31224969.
Повний текст джерелаReutzel, Edward W. "On the limitations and extensions of bidirectional associative memories in neural networks and fuzzy logic control theory." Thesis, Georgia Institute of Technology, 1993. http://hdl.handle.net/1853/16870.
Повний текст джерелаSlama, Olfa. "Flexible querying of RDF databases : a contribution based on fuzzy logic." Thesis, Rennes 1, 2017. http://www.theses.fr/2017REN1S089/document.
Повний текст джерелаThis thesis concerns the definition of a flexible approach for querying both crisp and fuzzy RDF graphs. This approach, based on the theory of fuzzy sets, makes it possible to extend SPARQL which is the W3C-standardised query language for RDF, so as to be able to express i) fuzzy user preferences on data (e.g., the release year of an album is recent) and on the structure of the data graph (e.g., the path between two friends is required to be short) and ii) more complex user preferences, namely, fuzzy quantified statements (e.g., most of the albums that are recommended by an artist, are highly rated and have been created by a young friend of this artist). We performed some experiments in order to study the performances of this approach. The main objective of these experiments was to show that the extra cost due to the introduction of fuzziness remains limited/acceptable. We also investigated, in a more general framework, namely graph databases, the issue of integrating the same type of fuzzy quantified statements in a fuzzy extension of Cypher which is a declarative language for querying (crisp) graph databases. Some experimental results are reported and show that the extra cost induced by the fuzzy quantified nature of the queries also remains very limited
Sypher, Sloan M. "Fuzzy Cognitive Maps: A Design Research Tool to Address Systems of Scaled Complexity." University of Cincinnati / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=ucin14958079287318.
Повний текст джерелаPalavalasa, Swetha Rao. "Implementation of Constraint Propagation Tree for Question Answering Systems." Available to subscribers only, 2009. http://proquest.umi.com/pqdweb?did=1796121021&sid=6&Fmt=2&clientId=1509&RQT=309&VName=PQD.
Повний текст джерелаAtaeian, Seyed Mohsen, and Mehrnaz Jaberi Darbandi. "Analysis of Quality of Experience by applying Fuzzy logic : A study on response time." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-5742.
Повний текст джерелаFarrall, Simon. "A study in the use of fuzzy logic in the management of an automotive heat engine/electric hybrid vehicle powertrain." Thesis, University of Warwick, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.387380.
Повний текст джерелаBrož, Zdeněk. "Fuzzy hodnocení investic - brownfield redevelopment." Doctoral thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2013. http://www.nusl.cz/ntk/nusl-233755.
Повний текст джерелаOtero, Angel Rafael. "An Information Security Control Assessment Methodology for Organizations." NSUWorks, 2014. http://nsuworks.nova.edu/gscis_etd/266.
Повний текст джерелаBoesak, C. D. "Controller design via H[infinity] optimal control, quantitative feedback theory and fuzzy logic control : an application to load frequency control." Master's thesis, University of Cape Town, 2000. http://hdl.handle.net/11427/5249.
Повний текст джерелаThis thesis describes the application of robust controller design techniques namely H[infinity] optimal control, fuzzy logic control and quantitative feedback theory to the load frequency control problem of power systems. It thus forms a comparative study of these design methods. Load frequency control is the closed loop control of electrical generating units to regulate the system frequency at its nominal value in the presence of load disturbances. Load frequency control also includes the regulation of the tie-line interchange powers.
Shekarriz, Mona. "The foundation of capability modelling : a study of the impact and utilisation of human resources." Thesis, Brunel University, 2011. http://bura.brunel.ac.uk/handle/2438/5257.
Повний текст джерелаSales, Raquel Jucà de Moraes. "Application of Fuzzy Logic in the Streeter-Phelps model to analyze the risk of contamination of rivers, considering multiple processes and multiple launch." Universidade Federal do CearÃ, 2014. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=11354.
Повний текст джерелаNa tentativa de facilitar o diagnÃstico dos diversos fatores que afetam a qualidade da Ãgua e antever possÃveis impactos futuros sobre o meio ambiente , sÃo adotadas aÃÃes que racionalize m o uso da Ãgua a partir da otimizaÃÃo de processos naturais ou tecnolÃgicos. A modelagem matemÃtica à um exemplo disso e, em conjunto com a Teoria Fuzzy , que permite fazer a anÃlise dos resultados sem necessidade de significativos bancos de dados, pode - se estabelecer o risco como indicador de contaminaÃÃo das Ãguas de rios, sendo de valor prÃtico na tomada de decisÃo e concessÃo de outorga de lanÃamentos. Neste estudo, foi desenvolvido um modelo matemÃtico aplicado Ãs equaÃÃes completas de Streeter - Phelps utilizando a Teoria dos nÃmeros Fuzzy , a fim de analisar o risco de contaminaÃÃo de um curso d'Ãgua que recebe agentes poluentes de mÃltiplas fontes de lanÃamento. Pelas simulaÃÃes do modelo, foram analisados diferentes cenÃrios, verificando a influÃncia d os seus parÃmetros, bem como o lanÃamento de fontes poluidoras pontuais e difusas, nos percentuais de risco. De acordo com os resultados, observou - se que a quantidade de carga lanÃada tem influÃncia no tempo de diluiÃÃo desta massa no sistema, de forma que , para maiores valores de lanÃamento, o tempo de diluiÃÃo à menor, favorecendo os processos de decaimento e formaÃÃo da camada bentÃnica; em relaÃÃo Ãs reaÃÃes fÃsicas, quÃmicas e biolÃgicas, verifica - se que os processos de sedimentaÃÃo, fotossÃntese e res piraÃÃo, para os dados mÃdios encontrados em literatura, tem pequena influÃncia no comportamento das curvas de concentraÃÃo de OD e curvas de risco, enquanto que o processo de nitrificaÃÃo tem forte influÃncia; jà a temperatura desempenha um significativo papel no comportamento do OD, onde, para valores maiores, maior serà o dÃficit OD e, em consequÃncia, aumento dos percentuais de risco. Por fim, o modelo desenvolvido como proposta de facilitar a tomada de decisÃo no controle de lanÃamento de efluentes em rios mostrou - se uma alternativa viÃvel e de valor prÃtico de anÃlise, jà que os objetivos foram alcanÃados
In an attempt to facilitate the diagnosis of the various factors that affect water quality and predict possible future impacts on the environment, actions to rationalize the use of water from the optimization of natural and technological processes are adopted. Mathematical modeling is one example and, together with Fuzzy Theory, which allows the analysis of the results without the need for significant databases, one can establish the risk as an indicator of contamination of rivers, and of practical value in decision making and allocation of grant releases. In this study, the full Streeter-Phelps equations, using the Fuzzy set Theory, was applied, in order to analyze the risk of contamination of a watercourse that receives multiple sources release pollutants. Through the model simulations, different scenarios were analyzed, and the influence of its parameters as well as the launch point and nonpoint pollution sources, in the calculation of the risk. According to the results, it was observed that the amount of discharge released influences the time of the mass dilution in the system, so that for higher values of launch, the dilution time is less favoring the formation and decay processes of benthic layer; regarding the physical, chemical and biological reactions, it appears that sedimentation processes, photosynthesis and respiration, concerning with the average data found in literature, have little influence on the behavior of the curves of DO concentration curves and risk, while the nitrification process has a strong influence; with respect to the temperature, the results showed that it plays a significant role in the behavior of DO, where, for larger values of it, the higher the DO deficit and, consequently, increase in the risk. Finally, the model developed as a proposal to facilitate the decision making in the control of discharge of effluents into rivers proved to be a viable and practical analytical alternative way, since the goals were achieved.
Havlíček, Petr. "Spornost fuzzy logických teorií v odvozovacích systémech." Master's thesis, Vysoká škola ekonomická v Praze, 2009. http://www.nusl.cz/ntk/nusl-15839.
Повний текст джерелаVasilic, Slavko. "Fuzzy neural network pattern recognition algorithm for classification of the events in power system networks." Diss., Texas A&M University, 2004. http://hdl.handle.net/1969.1/436.
Повний текст джерелаOzdemir, Mustafa. "A Probabilistic Schedule Delay Analysis In Construction Projects By Using Fuzzy Logic Incorporated With Relative Importance Index (rii) Method." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12612169/index.pdf.
Повний текст джерелаVerga, Juliana 1984. "Algoritmos para redes de transporte multimodal aplicado ao tráfego urbano." [s.n.], 2014. http://repositorio.unicamp.br/jspui/handle/REPOSIP/260596.
Повний текст джерелаTese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de Computação
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Resumo: A teoria de grafos é comumente utilizada na área da engenharia para resolver problemas que podem ser representados na forma de redes. Dentre diversos problemas abordados, o problema de transporte multimodal é um dos que podem ser modelados por grafos. Este trabalho apresenta três algoritmos para redes de transporte multimodal aplicados ao tráfego urbano. O primeiro algoritmo é de carregamento incremental de fluxo e aborda incertezas nos custos e nas capacidades dos arcos utilizando a teoria dos conjuntos fuzzy. Neste caso, o problema foi modelado através de subgrafos, onde cada modo de transporte considerado é representado por um subgrafo e o grafo total é a união de todos os subgrafos. O segundo é um algoritmo de caminho mínimo para grafos coloridos com custos crisp e é baseado no algoritmo clássico de caminho mínimo de Ford-Moore-Bellman. O terceiro algoritmo é de carregamento incremental de fluxo e utiliza o segundo algoritmo para encontrar os caminhos mínimos multimodais. Neste caso os custos e capacidades são crisp e assim como no primeiro algoritmo, os custos dependem do fluxo. A modelagem com relação ao segundo e ao terceiro algoritmo, foi feita utilizando grafos coloridos, onde cada modo de transporte é representado por uma cor
Abstract: The graph theory is commonly used in the area of engineering to solve problems that can be represented in the form of networks. Among several problems, the multimodal transport problem is one that can be modeled by graphs. This work presents three algorithms for multimodal transport networks applied to urban traffic. The first algorithm is of incremental loading flow and deals uncertainties in costs and in capacities of arcs using the fuzzy sets theory. In this case the problem was modeled by subgraphs, where each mode of transport considered is represented by a subgraph and the total graph is the union of all subgraphs. The second, is an algorithm of shortest path for colored graphs with crisp costs and is based in the classical shortest path algorithm of Ford-Moore-Bellman. The third algorithm is of incremental loading flow and uses the second algorithm to find the multimodal shortest paths. In this case the costs and the capacities are crisp and thus in the first algorithm, the costs depend on the flow. The modeling with respect to the second and third algorithm was done using colored graphs, where each transport mode is represented by a color
Doutorado
Automação
Doutora em Engenharia Elétrica
Beyan, Timur. "A New Fuzzy-chaotic Modelling Proposal For Medical Diagnostic Processes." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/3/12605924/index.pdf.
Повний текст джерелаMelo, Jr Luiz Ledo Mota. "Definição automática de classificadores fuzzy probabilísticos." Universidade Tecnológica Federal do Paraná, 2017. http://repositorio.utfpr.edu.br/jspui/handle/1/2624.
Повний текст джерелаEste trabalho apresenta uma abordagem para a definição automática de bases de regras em Classificadores Fuzzy Probabilísticos (CFPs), um caso particular dos Sistemas Fuzzy Probabilísticos. Como parte integrante deste processo, são utilizados métodos de redução de dimensionalidade como: análise de componentes principais e discriminante de Fisher. Os algoritmos de agrupamento testados para particionar o universo das variáveis de entrada do sistema são Gustafson-Kessel, Supervised Fuzzy Clustering ambos já consolidados na literatura. Adicionalmente, propõe-se um novo algoritmo de agrupamento denominado Gustafson-Kessel com Ponto Focal como parte integrante do projeto automático de CFPs. A capacidade deste novo algoritmo em identificar clusters elipsoidais e não elipsoidais também é avaliada neste trabalho. Em dados altamente correlacionados ou totalmente correlacionados ocorrem problemas na inversão da matriz de covariância fuzzy. Desta forma, um método de regularização é necessário para esta matriz e um novo método está sendo proposto neste trabalho.Nos CFPs considerados, a combinação de antecedentes e consequentes fornece uma base de regras na qual todos os consequentes são possíveis em uma regra, cada um associado a uma medida de probabilidade. Neste trabalho, esta medida de probabilidade é calculada com base no Teorema de Bayes que, a partir de uma função de verossimilhança, atualiza a informação a priori de cada consequente em cada regra. A principal inovação é o cálculo da função de verossimilhança que se baseia no conceito de “região Ideal” de forma a melhor identificar as probabilidades associadas aos consequentes da regra. Os CFPs propostos são comparados com classificadores fuzzy-bayesianos e outros tradicionais na área de aprendizado de máquina considerando conjuntos de dados gerados artificialmente, 30 benchmarks e também dados extraídos diretamente de problemas reais como detecção de falhas em rolamentos de máquinas industriais. Os resultados dos experimentos mostram que os classificadores fuzzy propostos superam, em termos de acurácia, os classificadores fuzzy-bayesianos considerados e alcançam resultados competitivos com classificadores não-fuzzy tradicionais usados na comparação. Os resultados também mostram que o método de regularização proposto é uma alternativa para a técnica de agrupamento Gustafson-Kessel (com ou sem ponto focal) quando se consideram dados com alta correção linear.
This work presents a new approach for the automatic design of Probabilistic Fuzzy Classifiers (PFCs), which are a special case of Probabilistic Fuzzy Systems. As part of the design process we consider methods for reducing the dimensionality like the principal component analysis and the Fisher discriminant. The clustering methods tested for partitioning the universe of input variables are Gustafson-Kessel and Supervised Fuzzy Clustering, both consolidated in the literature. In addition, we propose a new clustering method called Gustafson-Kessel with Focal Point as part of the automatic design of PFCs. We also tested the capacity of this method to deal with ellipsoidal and non-ellipsoidal clusters. Highly correlated data represent a challenge to fuzzy clustering due to the inversion of the fuzzy covariance matrix. Therefore, a regularization method is necessary for this matrix and a new one is proposed in this work. In the proposed PFCs, the combination of antecedents and consequents provides a rule base in which all consequents are possible, each one associated with a probability measure. In this work, the probability is calculated based on the Bayes Theorem by updating, through the likelihood function, a priori information concerning every consequent in each rule. The main innovation is the calculus of the likelihood functions which is based on the “ideal region” concept, aiming to improve the estimation of the probabilities associated with rules’ consequents. The proposed PFCs are compared with fuzzy-bayesian classifiers and other ones traditional in machine learning over artificial generated data, 30 different benchmarks and also on data directly extracted from real world like the problem of detecting bearings fault in industrial machines. Experiments results show that the proposed PFCs outperform, in terms of accuracy, the fuzzy-bayesian approaches and are competitive with the traditional non-fuzzy classifiers used in the comparison. The results also show that the proposed regularization method is an alternative to the Gustafson-Kessel clustering technique (with or without focal point) when using linearly correlated data.
Oliveira, Alciano Gustavo Genovez [UNESP]. "Aplicação da lógica nebulosa em um classificador para identificação de perfis por aspectos cognitivos." Universidade Estadual Paulista (UNESP), 2016. http://hdl.handle.net/11449/147995.
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Atualmente, as instituições de ensino, em sua grande maioria, estão disponibilizando cursos na modalidade de ensino a distância com o intuito de possibilitar aos indivíduos que não podem frequentar as aulas regularmente a realização de estudos a distância. Em muitos casos, os indivíduos desistem dessa modalidade de ensino sem concluir os estudos, isso se deve a vários fatores, sendo um deles, a dificuldade no entendimento do conteúdo disponibilizado durante as aulas devido a forma com que o mesmo é apresentado. Esta dissertação apresenta a utilização da lógica nebulosa em um classificador computacional, que tem por objetivo classificar indivíduos por aspectos cognitivos que estão relacionados com a Teoria das Inteligências Múltiplas propostas, originalmente, por Howard Gardner. O resultado dessa classificação possibilita direcionar os indivíduos para ambientes de ensino em que o conteúdo esteja adequado ao seu perfil cognitivo. Os testes foram realizados utilizando uma ferramenta acadêmica de mineração de dados que possibilitou determinar padrões cognitivos em cada indivíduo pela inserção de dados de entrada obtidos por meio da aplicação de um questionário e retornando os aspectos cognitivos mais aflorados de cada indivíduo. Após validados, os resultados mostraram aproximadamente 67% das classificações condizentes com os aspectos cognitivos identificados em aula.
Most educational institutions are offering distance-learning courses, in order to enable individuals who cannot attend classes regularly, to conduct their studies. In many cases, individuals drop out of this mode of teaching without completing their studies. One of the factors for that being the difficulty in understanding the content due to the way content is presented. This dissertation presents the use of fuzzy logic in a computational classifier that aims to classify individuals by cognitive aspects related to Howard Gardner’s Theory of Multiple Intelligences. The outcome of such a classifier makes it possible to direct individuals to learning environments in which the content is presented according to his/her main cognitive profile. The tests were performed using a data mining academic tool that allowed determining cognitive patterns for each individual by inputting data obtained from a questionnaire and returning the cognitive aspect most outlined in each individual. After validated, about 67% of the classification outcomes were considered in accordance to the cognitive aspects identified in classroom observations.
Mota, Alexandre de Assis. "Metodologia computacional para avaliação da qualidade de planos de recomposição de sistemas de energia eletrica." [s.n.], 2005. http://repositorio.unicamp.br/jspui/handle/REPOSIP/261251.
Повний текст джерелаTese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de Computação
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Resumo: O sucesso da recomposição de sistemas interligados está diretamente associado à qualidade dos planos de recomposição. Esses planos descrevem as seqüências de ações de controle que devem ser tomadas para energizar as diferentes áreas geoelétricas do sistema após a ocorrência de blecautes totais ou parciais. Nesse contexto, o objetivo deste trabalho é propor uma metodologia para avaliação da qualidade de planos de recomposição, que permita o uso de ferramentas computacionais para avaliar a qualidade de forma automática e sob alguns critérios como (a) grau de flexibilidade quanto a imprevistos durante a execução, (b) índices de qualidade globais determinados a partir da representação do plano de recomposição através de grafos conexos e (c) facilidade de acesso, visualização, atualização e treinamento. Diferentes técnicas e métodos foram empregados para atingir esse objetivo (busca de caminho mínimo, utilização de índices nebulosos, métodos de caminho crítico - CPM/PERT), visando a determinação dos índices numéricos relacionados à qualidade do plano, tais como: duração total prevista para a recomposição, eficiência da fase fluente, evolução da carga interrompida e custos estimados para a interrupção
Abstract: A successful restoration depends on the quality of the restoration plans, that describe the sequence of control actions that must be executed to reenergize different areas (of the power system) just after total or partial blackouts. This work proposes a methodology to automatically evalute the quality of power system restoration plans, related to (a) the flexibility of the plan, (b) numerical quality indexes, extracted using a graph representation for the plan and (c) the easiness of use, visualization, training and access to restoration instructions. Different techniques and methods were used to achieve this goal (minimum path search, adoption of fuzzy indexes, critical path methods), focusing on the determination of numerical indexes that express the quality of the plan, such as total restoration duration, fluent phase efficiency, interrupted load evolution and estimated interruption costs
Doutorado
Energia Eletrica
Doutor em Engenharia Elétrica
Rissoli, Vandor Roberto Vilardi. "Uma proposta metodológica de acompanhamento personalizado para aprendizagem significativa apoiada por um assistente virtual de ensino inteligente." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2007. http://hdl.handle.net/10183/13751.
Повний текст джерелаThis volume describe the multi and interdisciplinary work of made research in the Artificial Intelligence area applied to Education, with the main objective to the purpose of one methodology of work that has the support by Web environment as a way of support for the expected learning by the Computational Programming sub area in the graduation courses of Informatics. The investigative and experimental work was developed based in the theory proposed by Ausubel and the developed environment has the architecture based in the Intelligent Tutoring Systems, looking for a creation of one Intelligent Teaching Assistant, which the behavior is model from the rule group with origin in Fuzzy Logic. This base of rules search to establish one new form of analysis and assistance to go along with evolution of student knowledge, basing in the presuppositions of Subsumption Theory. The organization of contents in the base of dominion use one organized structure in Conceptual Maps form, that have the relation with functions of associated relevant to the objectives of these contents. The experimental work was realized in university where the author works as a teacher, giving the permission to realize the analysis and interviews in the easy way. The prototype, created for some aspect validation of the thesis it was obtained success and it was consisted a medium development better than the learning in the Computacional Programming.
Tan, Easter. "Étude comparative de différentes structures de contrôleurs flous." Vandoeuvre-les-Nancy, INPL, 1997. http://www.theses.fr/1997INPL143N.
Повний текст джерелаBlake, Gatto Sharon Elizabeth. "MAnanA: A Generalized Heuristic Scoring Approach for Concept Map Analysis as Applied to Cybersecurity Education." ScholarWorks@UNO, 2018. https://scholarworks.uno.edu/td/2526.
Повний текст джерелаMetcalfe, George. "Proof theory for propositional fuzzy logics." Thesis, King's College London (University of London), 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.406569.
Повний текст джерелаChrun, Ivan Rossato. "Mapas cognitivos fuzzy dinâmicos aplicados em vida artificial e robótica de enxame." Universidade Tecnológica Federal do Paraná, 2016. http://repositorio.utfpr.edu.br/jspui/handle/1/2512.
Повний текст джерелаEste trabalho propõe o uso de Mapas Cognitivos Fuzzy Dinâmicos (DFCM, do inglês Dynamic Fuzzy Cognitive Maps), uma evolução dos Mapas Cognitivos Fuzzy (FCM), para o desenvolvimento de sistemas autônomos para tomada de decisões. O FCM representa o conhecimento de forma simbólica, através de conceitos e relações causais dispostas em um grafo. Na sua versão clássica, os FCMs são usados no desenvolvimento de modelos estáticos, sendo inapropriados para o desenvolvimento de modelos temporais ou dinâmicos devido à ocorrência simultânea de todas as causalidades em uma estrutura fixa dos grafos, i.e., os conceitos e suas relações causais são invariantes no tempo. O DFCM utiliza o mesmo formalismo matemático do FCM através de grafos, acrescentando funcionalidades, como por exemplo, a capacidade de auto adaptação através de algoritmos de aprendizagem de máquina e a possibilidade de inclusão de novos tipos de conceitos e relações causais ao modelo FCM clássico. A partir dessas inclusões, é possível construir modelos DFCM para tomada de decisões dinâmicas, as quais são necessárias no desenvolvimento de ferramentas inteligentes em áreas de conhecimento correlatas à engenharia, de modo especifico a construção de modelos aplicados em Robótica Autônoma. Em especial, para as áreas de Robótica de Enxame e Vida artificial, como abordados nesta pesquisa. O sistema autônomo desenvolvido neste trabalho aborda problemas com diferentes objetivos (como desviar de obstáculos, coletar alvos ou alimentos, explorar o ambiente), hierarquizando as ações necessárias para atingi-los, através do uso de uma arquitetura para o planejamento, inspirada no modelo clássico de Subsunção de Brooks, e uma máquina de estados para o gerenciamento das ações. Conceitos de aprendizagem de máquina, em especial Aprendizagem por Reforço, são empregadas no DFCM para a adaptação dinâmica das relações de casualidade, possibilitando o controlador a lidar com eventos não modelados a priori. A validação do controlador DFCM proposto é realizada por meio de experimentos simulados através de aplicações nas áreas supracitadas.
This dissertation proposes the use of Dynamic Fuzzy Cognitive Maps (DFCM), an evolution of Fuzzy Cognitive Maps (FCM), for the development of autonomous system to decision-taking. The FCM represents knowledge in a symbolic way, through concepts and causal relationships disposed in a graph. In its standard form, the FCMs are limited to the development of static models, in other words, classical FCMs are inappropriate for development of temporal or dynamic models due to the simultaneous occurrence of all causalities in a permanent structure, i.e., the concepts and the causal relationships are time-invariant. The DFCM uses the same mathematical formalism of the FCM, adding features to its predecessor, such as self-adaptation by means of machine learning algorithms and the possibility of inclusion of new types of concepts and causal relationships into the classical FCM model. From these inclusions, it is possible to develop DFCM models for dynamic decision-making problems, which are needed to the development of intelligent tools in engineering and other correlated areas, specifically, the construction of autonomous systems applied in Autonomous Robotic. In particular, to the areas of Swarm Robotics and Artificial Life, as approached in this research. The developed autonomous system deals with multi-objective problems (such as deviate from obstacle, collect target or feed, explore the environment), hierarchizing the actions needed to reach them, through the use of an architecture for planning, inspired by the Brook’s classical Subsumption model, and a state machine for the management of the actions. Learning machine algorithms, in particular Reinforcement Learning, are implemented in the DFCM to dynamically tune the causalities, enabling the controller to handle not modelled event a priori. The proposed DFCM model is validated by means of simulated experiments applied in the aforementioned areas.
Kaplan, Akilli Goknur. "A Proposal Of Instructional Design/development Model For Game-like Learning Environments: The Fid<." Master's thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/12604703/index.pdf.
Повний текст джерелаhow to&rdquo
incorporate games into learning environments is still a question, despite more than 30 years&rsquo
existence of computer games and simulations in the instructional design movement. Setting off from these issues, a formative research study is designed to propose an instructional design/development model, which may be used for creation of game-like learning environments. Eighteen undergraduate students from Computer Education and Instructional Technology Department in METU participated to the study. Data collection lasted for three months and data were collected through interviews, observations and the artifacts that the participants produced. After the data analysis, it was found that the phases of the instructional design/development process should not be separate, strictly bounded, and processing a linear manner. Depending on these results and with the inspiration from fuzzy logic, an instructional design/development model for creating game-like environments, which is called as &ldquo
FID<
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GE model&rdquo
is proposed.