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Relevant bibliographies by topics / Fuzzy inference systems / Dissertations / Theses

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Dissertations / Theses on the topic 'Fuzzy inference systems'

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Published: 4 June 2021

Last updated: 25 July 2025

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1

Weinschenk, Jeffrey Joseph. "Complexity reduction in fuzzy inference systems /." Thesis, Connect to this title online; UW restricted, 2004. http://hdl.handle.net/1773/5945.

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2

Xu, Andong. "Flexible adaptive-network-based fuzzy inference system." Diss., Online access via UMI:, 2006.

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Thesis (M.S.)--State University of New York at Binghamton, Thomas J. Watson School of Engineering and Applied Science, Dept. of Systems Science and Industrial Engineering, 2006.<br>Includes bibliographical references.

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3

Lau, Chun Yin. "Extended adapative [i.e. adaptive] neuro-fuzzy inference systems." Access electronically, 2006. http://www.library.uow.edu.au/adt-NWU/public/adt-NWU20070130.170625/index.html.

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4

Weeraprajak, Issarest. "Faster Adaptive Network Based Fuzzy Inference System." Thesis, University of Canterbury. Mathematics and Statistics, 2007. http://hdl.handle.net/10092/1234.

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It has been shown by Roger Jang in his paper titled "Adaptive-network-based fuzzy inference systems" that the Adaptive Network based Fuzzy Inference System can model nonlinear functions, identify nonlinear components in a control system, and predict a chaotic time series. The system use hybrid-learning procedure which employs the back-propagation-type gradient descent algorithm and the least squares estimator to estimate parameters of the model. However the learning procedure has several shortcomings due to the fact that * There is a harmful and unforeseeable influence of the size of the pa

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5

MERINO, JORGE SALVADOR PAREDES. "AUTOMATIC SYNTHESIS OF FUZZY INFERENCE SYSTEMS FOR CLASSIFICATION." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2015. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=27007@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO<br>PROGRAMA DE EXCELENCIA ACADEMICA<br>Hoje em dia, grande parte do conhecimento acumulado está armazenado em forma de dados. Para muitos problemas de classificação, tenta-se aprender a relação entre um conjunto de variáveis (atributos) e uma variável alvo de interesse. Dentre as ferramentas capazes de atuar como modelos representativos de sistemas reais, os Sistemas de Inferência Fuzzy são considerados excelentes co

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Lee, Chang Su. "A framework of adaptive T-S type rough-fuzzy inference systems (ARFIS)." University of Western Australia. School of Electrical, Electronic and Computer Engineering, 2009. http://theses.library.uwa.edu.au/adt-WU2009.0192.

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[Truncated abstract] Fuzzy inference systems (FIS) are information processing systems using fuzzy logic mechanism to represent the human reasoning process and to make decisions based on uncertain, imprecise environments in our daily lives. Since the introduction of fuzzy set theory, fuzzy inference systems have been widely used mainly for system modeling, industrial plant control for a variety of practical applications, and also other decisionmaking purposes; advanced data analysis in medical research, risk management in business, stock market prediction in finance, data analysis in bioinforma

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Morphet, Steven Brian Işık Can. "Modeling neural networks via linguistically interpretable fuzzy inference systems." Related electronic resource: Current Research at SU : database of SU dissertations, recent titles available full text, 2004. http://wwwlib.umi.com/cr/syr/main.

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8

Hudgins, Billy E. "Implementation of fuzzy inference systems using neural network techniques." Thesis, Monterey, California. Naval Postgraduate School, 1992. http://hdl.handle.net/10945/23919.

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9

RIBEIRO, NICHOLAS PINHO. "HIERARCHICAL FUZZY INFERENCE SYSTEMS APPLIED TO HUMAN RELIABILITY ASSESSMENT." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2014. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=24722@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>PROGRAMA DE EXCELENCIA ACADEMICA<br>A maioria dos estudos existentes em controle de qualidade de processos focam no desempenho de máquinas e ferramentas. Assim, estes já contam com bons métodos para serem controlados. Contudo, erros humanos em potencial estão presentes em todos os processos industriais que contenham a relação homem-máquina, fazendo com que a necessidade de se avaliar a qualidade do desempenho humano seja de igual importância. A abordagem para se avaliar quão su

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Prajitno, Prawito. "Neuro-fuzzy methods in multisensor data fusion." Thesis, University of Sheffield, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.251258.

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Arnett, Timothy J. "Iteratively Increasing Complexity During Optimization for Formally Verifiable Fuzzy Systems." University of Cincinnati / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin156387481300899.

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12

Guner, Evren. "Adaptive Neuro Fuzzy Inference System Applications In Chemical Processes." Master's thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/1252246/index.pdf.

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Neuro-Fuzzy systems are the systems that neural networks (NN) are incorporated in fuzzy systems, which can use knowledge automatically by learning algorithms of NNs. They can be viewed as a mixture of local experts. Adaptive Neuro-Fuzzy inference system (ANFIS) is one of the examples of Neuro Fuzzy systems in which a fuzzy system is implemented in the framework of adaptive networks. ANFIS constructs an input-output mapping based both on human knowledge (in the form of fuzzy rules) and on generated input-output data pairs. Effective control for distillation systems, which are one of the importa

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Jamei, Masoud. "Symbiotic evolution-based design of fuzzy inference systems with application to active suspension systems." Thesis, University of Sheffield, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.251324.

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14

McGinnity, Shaun Joseph. "Nonlinear estimation techniques for target tracking." Thesis, Queen's University Belfast, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.263495.

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15

Tang, Gary L. "Fuzzy inference systems for iris biometrics to reduce search time in large databases." Scholarly Commons, 2014. https://scholarlycommons.pacific.edu/uop_etds/230.

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This research attempts to use a method that can reduce the search time of a system trying to match a user's iris image against those in a very large database. One method to reduce search time is to predict an individual's ethnicity and then only search iris templates belonging to that particular ethnicity in the database. By limiting the search to a small subsection of the database, as opposed to an exhaustive search, this method will cut significant run time from the search process. We propose the use of an adaptive neuro-fuzzy inference system to implement this idea. In addition to the adapt

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Mohd, Noor Mohd Junaizee. "Application of knowledge-based fuzzy inference system on high voltage transmission line maintenance." Thesis, Queensland University of Technology, 2004. https://eprints.qut.edu.au/16050/1/Mohd_Junaizee_Mohd_Noor_Thesis.pdf.

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A majority of utilities conduct maintenance of transmission line components based on the results of routine visual inspection. The inspection is normally done by inspectors who detect defects by visually checking transmission line components either from the air (in helicopters), from the ground (by using high-powered binoculars) or from the top of the structure (by climbing the structure). The main problems with visual inspection of transmission lines are that the determination of the defects varies depending on the inspectors' knowledge and experience and that the defects are often rep

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Mohd, Noor Mohd Junaizee. "Application of knowledge-based fuzzy inference system on high voltage transmission line maintenance." Queensland University of Technology, 2004. http://eprints.qut.edu.au/16050/.

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A majority of utilities conduct maintenance of transmission line components based on the results of routine visual inspection. The inspection is normally done by inspectors who detect defects by visually checking transmission line components either from the air (in helicopters), from the ground (by using high-powered binoculars) or from the top of the structure (by climbing the structure). The main problems with visual inspection of transmission lines are that the determination of the defects varies depending on the inspectors' knowledge and experience and that the defects are often rep

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Scheipers, Ulrich. "Sonohistology methods and systems for ultrasonic tissue characterization based on a multifeature approach and fuzzy inference systems." Berlin Logos-Verl, 2004. http://deposit.ddb.de/cgi-bin/dokserv?id=2655720&prov=M&dok_var=1&dok_ext=htm.

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Miranda, Luís Miguel Gonçalves. "Data fusion with computational intelligence techniques: a case study of fuzzy inference for terrain assessment." Master's thesis, Faculdade de Ciências e Tecnologia, 2014. http://hdl.handle.net/10362/12338.

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Dissertação apresentada para obtenção do Grau de Mestre em Engenharia Electrotécnica e de Computadores, pela Universidade Nova de Lisboa, Faculdade de Ciências e Tecnologia<br>With the constant technology progression is inherent storage of all kinds of data. Satellites, mobile phones, cameras and other type of electronic equipment, produce on daily basis an amount of data of gigantic proportions. These data alone may not convey any meaning and may even be impossible to interpret them without specific auxiliary measures. Data fusion contributes in this issue giving use of these data, processin

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GarcÃa, Z. Yohn E. "Fuzzy logic in process control: A new fuzzy logic controller and an improved fuzzy-internal model controller." Scholar Commons, 2006. http://scholarcommons.usf.edu/etd/2529.

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Two fuzzy controllers are presented. A fuzzy controller with intermediate variable designed for cascade control purposes is presented as the FCIV controller. An intermediate variable and a new set of fuzzy logic rules are added to a conventional Fuzzy Logic Controller (FLC) to build the Fuzzy Controller with Intermediate Variable (FCIV). The new controller was tested in the control of a nonlinear chemical process, and its performance was compared to several other controllers. The FCIV shows the best control performance regarding stability and robustness. The new controller also has an acceptab

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Dmitrijev, Gintaras. "Neuroninių-neraiškiųjų tinklų naudojimas verslo taisyklių sistemose." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2009. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2009~D_20090709_144131-20800.

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Baigiamajame magistro darbe nagrinėjamos neraiškiųjų verslo taisyklių naudojimo informacinėse sistemose problemos, „minkštųjų skaičiavimų“ intelektinėse informacinėse sistemose problematika, neuroninių-neraiškiųjų sistemų principai. Išnagrinėti pagrindiniai neraiškiosios logikos dėsniai, kuriais remiantis naudojamos neraiskiosios verslo taisyklės intelektinėse informacinėse sistemose. Pateiktas būdas, kaip neuroninės-neraiškiosios sistemos gali būti naudojamos verslo taisyklių sistemose naudojant RuleML, taisyklių žymėjimo kalbos, standartą. Baigiamajame darbe aprašomas eksperimentas, atliktas

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Piacitelli, Leni Palmira. "Avaliação da Sustentabilidade nas Universidades : uma proposta por meio da teoria dos conjuntos fuzzy /." Sorocaba, 2019. http://hdl.handle.net/11449/183351.

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Orientador: Sandra Regina Monteiro Masalskiene Roveda<br>Resumo: A nova perspectiva rumo à conservação do meio ambiente como fato categórico de subsistência planetária tem colocado a sustentabilidade em primeiro plano como o grande desafio da universidade, responsável e equipada para a formação daqueles que terão o poder decisório sobre as questões relacionadas a um futuro viável. Este estudo se refere à sustentabilidade na universidade por meio do que é percebido pelos diversos atores que nela transitam. Teve como objetivo desvendar, em algumas instituições do setor público e do setor privado

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Konstantaras, Anthony J. "Development and analysis of hybrid adaptive neuro-fuzzy inference systems for the recognition of weak signals preceding earthquakes." Thesis, University of Central Lancashire, 2004. http://clok.uclan.ac.uk/19072/.

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Prior to an earthquake, there is energy storage in the seismogenic area, the release of which results in a number of micro-cracks, which in effect produce a weak electric signal. Initially, there is a rapid rise in the number of propagating cracks, which creates a transient electric field. The whole process lasts in the order of several tens of minutes, and the resulting electric signal is considered as an electric earthquake precursor (EEP). Electric earthquake precursor recognition is mainly prevented by the very essence of the signal itself. The nature of the signal, according to the theory

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Singh, Mukhtiar. "Adaptive network-based fuzzy inference systems for sensorless control of PMSG based wind turbine with power quality improvement features." Mémoire, École de technologie supérieure, 2010. http://espace.etsmtl.ca/314/1/SINGH_Mukhtiar.pdf.

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Le coût de la generation d’énergie éolienne devient concurrentiel à celui de la génération d’énergie électrique des sources d’énergies fossiles dites conventionnelles. Il est d’ailleurs à parité avec le coût de génération des centrales au charbon et au gaz. Les générateurs éoliens sont de tailles plus imposantes et leur conception a évolué d’un contrôle vitesse avec entraînement à boîte de vitesse à un contrôle d’hélice de vitesse variable avec ou sans boîte de vitesse. Les progrès réalisés en électronique de puissance stimulent cette tendance vers les éoliennes à vitesse variable. Aujou

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Hwang, Yuan-Chun. "Local and personalised models for prediction, classification and knowledge discovery on real world data modelling problems." Click here to access this resource online, 2009. http://hdl.handle.net/10292/776.

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This thesis presents several novel methods to address some of the real world data modelling issues through the use of local and individualised modelling approaches. A set of real world data modelling issues such as modelling evolving processes, defining unique problem subspaces, identifying and dealing with noise, outliers, missing values, imbalanced data and irrelevant features, are reviewed and their impact on the models are analysed. The thesis has made nine major contributions to information science, includes four generic modelling methods, three real world application systems that apply t

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Benini, Luiz Carlos [UNESP]. "Estimação da densidade de solos utilizando sistemas de inferência fuzzy." Universidade Estadual Paulista (UNESP), 2007. http://hdl.handle.net/11449/101860.

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Made available in DSpace on 2014-06-11T19:31:37Z (GMT). No. of bitstreams: 0 Previous issue date: 2007-12-03Bitstream added on 2014-06-13T21:02:57Z : No. of bitstreams: 1 benini_lc_dr_botfca.pdf: 1063271 bytes, checksum: ac62bd61becd308d39b1c058ea679181 (MD5)<br>Este trabalho tem por objetivo principal apresentar o desenvolvimento de um sistema inteligente, utilizando a Teoria Fuzzy, para estimar valores aproximados da densidade do solo a partir de medidas diretas (campo) sem a necessidade de ensaios laboratoriais e, consequentemente, identificar a compactação do solo por meio destes valores

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Hamilton-Wright, Andrew. "Transparent Decision Support Using Statistical Evidence." Thesis, University of Waterloo, 2005. http://hdl.handle.net/10012/778.

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An automatically trained, statistically based, fuzzy inference system that functions as a classifier is produced. The hybrid system is designed specifically to be used as a decision support system. This hybrid system has several features which are of direct and immediate utility in the field of decision support, including a mechanism for the discovery of domain knowledge in the form of explanatory rules through the examination of training data; the evaluation of such rules using a simple probabilistic weighting mechanism; the incorporation of input uncertainty using the vagueness abstrac

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Salman, Baris. "Infrastructure Management and Deterioration Risk Assessment of Wastewater Collection Systems." University of Cincinnati / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1282051343.

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Benini, Luiz Carlos 1952. "Estimação da densidade de solos utilizando sistemas de inferência fuzzy /." Botucatu : [s.n], 2007. http://hdl.handle.net/11449/101860.

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Resumo: Este trabalho tem por objetivo principal apresentar o desenvolvimento de um sistema inteligente, utilizando a Teoria Fuzzy, para estimar valores aproximados da densidade do solo a partir de medidas diretas (campo) sem a necessidade de ensaios laboratoriais e, consequentemente, identificar a compactação do solo por meio destes valores estimados. A densidade do solo é um dos principais parâmetros utilizado para a identificação do grau de compactação do solo, e está relacionada com outros parâmetros tais como a resistência à penetração do solo, o teor de água e a textura do solo. Para o d

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Osiro, Lauro. "Uso da lógica fuzzy para avaliação e desenvolvimento de fornecedores baseado em modelos de portfólio." Universidade de São Paulo, 2013. http://www.teses.usp.br/teses/disponiveis/18/18156/tde-27032013-092914/.

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A gestão de fornecedores é uma atividade crítica para a gestão do desempenho de empresas inseridas em redes produtivas. O modelo de segmentação ou portfólio de compras é definido como um processo de separação de fornecedores em grupos em função de diferentes necessidades e características, requerendo diferentes tipos de relacionamentos. Esta técnica tem recebido uma atenção cada vez maior no meio acadêmico e empresarial devido a sua estrutura simples e eficaz na organização de diferentes estratégias de suprimentos. Diferentes propostas de modelos têm sido apresentadas, mas todas com grande pre

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Cakit, Erman. "Investigating The Relationship Between Adverse Events and Infrastructure Development in an Active War Theater Using Soft Computing Techniques." Doctoral diss., University of Central Florida, 2013. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/5777.

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The military recently recognized the importance of taking sociocultural factors into consideration. Therefore, Human Social Culture Behavior (HSCB) modeling has been getting much attention in current and future operational requirements to successfully understand the effects of social and cultural factors on human behavior. There are different kinds of modeling approaches to the data that are being used in this field and so far none of them has been widely accepted. HSCB modeling needs the capability to represent complex, ill-defined, and imprecise concepts, and soft computing modeling can deal

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Moraes, Lucas Assis de. "Desenvolvimento de uma abordagem fuzzy para estimação de demanda de potência em um sistema de distribuição de energia elétrica." Universidade de São Paulo, 2014. http://www.teses.usp.br/teses/disponiveis/18/18153/tde-03092014-090152/.

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Este trabalho tem por objetivo desenvolver uma abordagem fuzzy focando na estimação de curto prazo da demanda de potência ativa de um alimentador de sistema de distribuição de energia elétrica. A motivação para este trabalho encontra-se na redução do erro de estimação para que o sistema de distribuição como um todo seja corretamente operado. O destaque da abordagem desenvolvida é a metodologia de seleção de entradas para o sistema de estimação, que o treina fornecendo-lhe informações não redundantes e não desnecessárias sobre o comportamento da série temporal. Os resultados, obtidos com treina

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Štechová, Edita. "Application of the Artificial Intelligence in the Real Estate Valuation." Master's thesis, Vysoká škola ekonomická v Praze, 2014. http://www.nusl.cz/ntk/nusl-192596.

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The main purpose of this study is to develop a predictive model capable to forecast residential real estate prices in the city of Prague using Artificial Intelligence methods. The first part of this study discusses fundamentals of Artificial Neural Networks and Fuzzy Inference Systems in the context of real estate valuation. The second part demonstrates a development and testing of such models using a dataset of real estate market transactions. In the third part, results are compared to Multiple Regression and an explanatory power of each model is evaluated. Conclusions of this research are: (

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Campi, Rodrigo Luz. "Modelagem fuzzy da concentração dos gases dissolvidos em óleo mineral isolante de transformadores baseada em resultados de ensaios físico-químicos." Universidade de São Paulo, 2014. http://www.teses.usp.br/teses/disponiveis/18/18153/tde-07032014-143351/.

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O objetivo desse trabalho foi de fazer a modelagem por meio de sistemas de inferência fuzzy da concentração dos gases dissolvidos em óleo mineral isolante à partir dos resultados de ensaios físico-químicos. Dessa forma, objetivou-se estender as técnicas de identificação de falhas em transformadores por meio da análise dos ensaios físico-químicos do óleo isolante. Para tanto adotou-se um mapeamento entre os dados de ensaios físico-químicos e de cromatografia gasosa feito por meio de sistemas de inferência fuzzy. Assim, por meio de resultados de ensaios físico-químicos, como cor, densidade, unid

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Yusuf, Syed Adnan. "An evolutionary AI-based decision support system for urban regeneration planning." Thesis, University of Wolverhampton, 2010. http://hdl.handle.net/2436/114896.

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The renewal of derelict inner-city urban districts suffering from high levels of socio-economic deprivation and sustainability problems is one of the key research areas in urban planning and regeneration. Subject to a wide range of social, economical and environmental factors, decision support for an optimal allocation of residential and service lots within such districts is regarded as a complex task. Pre-assessment of various neighbourhood factors before the commencement of actual location allocation of various public services is considered paramount to the sutainable outcome of regeneration

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Valyrakis, Manousos. "Initiation of Particle Movement in Turbulent Open Channel Flow." Diss., Virginia Tech, 2011. http://hdl.handle.net/10919/27289.

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The objective of this thesis is to investigate the flow conditions that lead to coarse grain entrainment at near incipient motion conditions. Herein, a new conceptual approach is proposed, which in addition to the magnitude of hydrodynamic force or flow power, takes into account the duration of the flow event. Two criteria for inception of grain entrainment, namely the critical impulse and critical energy concepts, are proposed and compared. These frameworks adopt a force or energy perspective, considering the momentum or energy transfer from each flow event to the particle respectively, to de

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Melo, Luiz Carlos Viana. "Adaptação do paradigma orientado a notificações para desenvolvimento de sistemas fuzzy." Universidade Tecnológica Federal do Paraná, 2016. http://repositorio.utfpr.edu.br/jspui/handle/1/1814.

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Este trabalho trata do tema de Paradigma Orientado a Notificações (PON) e sua adequação para prover suporte a conceitos fuzzy. O PON se inspira em elementos dos paradigmas imperativo e declarativo, buscando resolver inconvenientes de ambos. Ao decompor uma aplicação em uma rede de entidades computacionais menores que são executadas apenas quando necessário, o PON elimina a necessidade de realizar computações desnecessárias e alcança melhor desacoplamento lógico-causal facilitando o reaproveitamento e distribuição. Ademais, o PON permite expressar o seu conhecimento lógico-causal em alto nível,

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Spacca, Jordy Luiz Cerminaro. "Usando o Sistema de Inferência Neuro Fuzzy - ANFIS para o cálculo da cinemática inversa de um manipulador de 5 DOF /." Ilha Solteira, 2019. http://hdl.handle.net/11449/183448.

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Orientador: Suely Cunha Amaro Mantovani<br>Resumo: No estudo dos manipuladores são utilizados os conceitos da cinemática direta e a inversa. No cálculo da cinemática direta tem-se a facilidade da notação de Denavit-Hartenberg, mas o desafio maior é a resolução da cinemática inversa, que se torna mais complexa conforme aumentam os graus de liberdade do manipulador, além de apresentar múltiplas soluções. As variáveis angulares obtidas pelas equações da cinemática inversa são utilizadas pelo controlador, para posicionar o órgão terminal do manipulador em um ponto específico de seu volume de traba

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Batista, Oureste Elias. "Sistema inteligente baseado em decomposição por componentes ortogonais e inferência fuzzy para localização de faltas de alta impedância em sistemas de distribuição de energia elétrica com geração distribuída." Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/18/18153/tde-30052016-103546/.

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Os sistemas elétricos de potência modernos apresentam inúmeros desafios em sua operação. Nos sistemas de distribuição de energia elétrica, devido à grande ramificação, presença de extensos ramais monofásicos, à dinâmica das cargas e demais particularidades inerentes, a localização de faltas representa um dos maiores desafios. Das barreiras encontradas, a influência da impedância de falta é uma das maiores, afetando significativamente a aplicação dos métodos tradicionais na localização, visto que a magnitude das correntes de falta é similar à da corrente de carga. Neste sentido, esta tese objet

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Rabêlo, Ricardo de Andrade Lira. "Componentes de software no planejamento da operação energética de sistemas hidrotérmicos." Universidade de São Paulo, 2010. http://www.teses.usp.br/teses/disponiveis/18/18154/tde-15092010-102039/.

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O planejamento da operação de sistemas hidrotérmicos pode ser classificado como um problema de um sistema acoplado no tempo e no espaço, não linear, não convexo, estocástico e de grande porte. A complexidade do problema justifica a necessidade de utilização de diversas ferramentas computacionais com abordagens variadas. Este trabalho tem como objetivo a realização de estudos relacionados ao planejamento da operação energética de sistemas hidrotérmicos de geração, pela aplicação de componentes de software e de sistemas de inferência fuzzy. Pretende-se apresentar e aplicar um processo de desenvo

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Funsten, Brad Thomas Mr. "ECG Classification with an Adaptive Neuro-Fuzzy Inference System." DigitalCommons@CalPoly, 2015. https://digitalcommons.calpoly.edu/theses/1380.

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Heart signals allow for a comprehensive analysis of the heart. Electrocardiography (ECG or EKG) uses electrodes to measure the electrical activity of the heart. Extracting ECG signals is a non-invasive process that opens the door to new possibilities for the application of advanced signal processing and data analysis techniques in the diagnosis of heart diseases. With the help of today’s large database of ECG signals, a computationally intelligent system can learn and take the place of a cardiologist. Detection of various abnormalities in the patient’s heart to identify various heart diseases

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Rybalka, 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.

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The purpose of this study is to create a methodology for developing an automated system for assessing the quality of food products based on a comprehensive quality indicator and the use of fuzzy logic theory, namely, fuzzy inference. In our opinion, such an approach to quality assessment can reduce the subjective component that has a significant impact on making a final decision. The system, built on a given algorithm, allows us to assess the quality of food products, taking into account the data of laboratory studies on measurable quality indicators and expert opinions on difficult to measur

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Guo, Lizhu. "Key optimization issues for the design of fuzzy-inference system." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp02/NQ35169.pdf.

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prasad, mukesh, and 木克思. "A Collaborative Fuzzy Rule Transfer Mechanism for Neural Fuzzy Inference Systems." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/36709543470422441409.

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博士<br>國立交通大學<br>資訊科學與工程研究所<br>104<br>In this study, a preprocessed collaborative fuzzy clustering (PCFC) technique is proposed to refine the inconsistency of the prototype and partition matrices obtained from fuzzy c-means clustering before getting involved in the collaboration process. The PCFC provides a solution to the problems related to the collaborative fuzzy clustering and gives better data visualization. In the collaboration processes, one organization cannot share data information directly with other organization, due to the privacy and security issues. However, the PCFC helps to shar

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"Further investigations of geometric representation approach to fuzzy inference and interpolation." 2002. http://library.cuhk.edu.hk/record=b5891174.

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Wong Man-Lung.<br>Thesis (M.Phil.)--Chinese University of Hong Kong, 2002.<br>Includes bibliographical references (leaves 99-103).<br>Abstracts in English and Chinese.<br>Abstract --- p.i<br>Acknowledgments --- p.iii<br>List of Figures --- p.viii<br>List of Tables --- p.ix<br>Chapter 1 --- Introduction --- p.1<br>Chapter 1.1 --- Background --- p.1<br>Chapter 1.2 --- Objectives --- p.5<br>Chapter 2 --- Cartesian Representation of Membership Function --- p.7<br>Chapter 2.1 --- The Cartesian Representation --- p.8<br>Chapter 2.2 --- Region of Well-defined Membership Functions --- p.10<b

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WANG, HUI-GIN, and 王惠慶. "A-NEW-FUZZY-INFERENCE-ALGORITHM-FOR-BUILDING-EXPERT-SYSTEMS." Thesis, 1990. http://ndltd.ncl.edu.tw/handle/94041024024340079918.

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Chen, Chong-Guang, and 陳重光. "A Personal Computer Cooling System Based on Adaptive Neuro-Fuzzy Inference Systems." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/j97ecd.

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碩士<br>國立高雄應用科技大學<br>電子工程系碩士班<br>103<br>With advances in integrated circuit technology, the demand for light-weighted, thin, short, small and reduced power consumer products increases day by day, also increased internal heat density. To improve the cooling efficiency of personal computers, many cooling methods are developed out, such as the manual mode, speed cruise mode, thermal cruise mode and multi-point fan control mode, and so on. But it is more difficult to achieve a mathematical model of the fan motor, so let the fan speed control is not good. In this thesis, we propose an adaptive neuro

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Lin, Hsuan-Yu, and 林炫佑. "Fuzzy-Inference Based Adaptive Filtering Techniques in Wireless Communication Systems." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/48507242881913418738.

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博士<br>國立中正大學<br>電機工程所<br>94<br>The research in this dissertation addresses fuzzy adaptive signal processing for wireless communication systems. Fuzzy-inference system is a robust and powerful mechanism, which is applied in wide variety of domains. This dissertation extends knowledge of fuzzy-inference system in four MMSE-based adaptive filters. The first adaptive filter is fuzzy-logic recursive least-square (RLS) algorithm. This dissertation develops an adaptive minimum mean-square error (MMSE) array receiver based on the fuzzy-logic for asynchronous DS-CDMA interference suppression in the pre

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Chen, Yen-An, and 陳彥安. "Apply Bayesian Networks and Fuzzy Inference Systems for Inventory Forecast." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/26213160661578940780.

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碩士<br>玄奘大學<br>資訊科學學系碩士班<br>96<br>In recent year, more and more industries are devoted to improve their supply chain management in order to reduce its costs. If the goods are unable to deliver form the manufacturers to customers successfully, the resulted higher inventories will need more warehouses and more labors. The costs of overstock will reduce the profits. To control and manage the inventory sale levels is an important decision for improving operation effects of industries. The preference degree of purchasing goods is a kind of operation technology for giving assistance in planning and c

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tyasnurita, raras, and 劉樂斯. "Adaptive Route Recommendation by Using Neural Based Fuzzy Inference Systems." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/20135854290044122749.

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碩士<br>國立臺灣科技大學<br>工業管理系<br>100<br>Transportation is a key component of economic growth, however the increasing population nowadays cause traffic congestion becomes a challenging issue. Intelligent Transportation Systems (ITS) with its technology progressivity had been a powerful solution to increase transportation efficiency. One promising option among ITS is Advanced Traveler Information Systems (ATIS) which enable driver in having less frustrated driving experience by providing valuable real time information. Even though this system capable in guiding driver to reach destination, the recomme

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