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KOZHEMIACHENKO, Daniil. "Paraconsistent and fuzzy modal logics for reasoning about uncertainty". Electronic Thesis or Diss., Bourges, INSA Centre Val de Loire, 2023. http://www.theses.fr/2023ISAB0014.
Pełny tekst źródłaThis dissertation is devoted to the study of fuzzy modal logics that formalise (paraconsistent) reasoning about uncertainty. The understanding of ‘uncertain information (data)’ here includes any combination of the following three characteristics. First, the information can be graded, i.e., the statement is equipped with a truth degree rather than a truth value. Second, the information can be incomplete. Third, the information can be contradictory.All the logics in question can be divided into two kinds. First, the more ‘traditional’ modal logics defined on [0,1]-valued Kripke models (possibly, with fuzzy accessibility relations) whose language includes modal operators interpreted as infima and suprema of values in the accessible states.The second kind of logics contains so-called ‘two-layered’ logics. In this framework, the language is divided into three parts: the inner layer, the outer layer, and the non-nesting modality. The idea is to use the inner-layer language to describe events, interpret the modality as a measure on the set of events (e.g., as a probability function, belief function, plausibility, etc.) corresponding to the degree of the agent's (un)certainty in a given event, and then reason about this (un)certainty in the outer-layer language. A frame in a two-layered logic is, thus, a set with a measure defined thereon.These two kinds of logics correspond to two ways of interpreting uncertainty. In the less formal one, we will be using the logics with the Kripke-frame semantics. In the more formal case where the degree of one's certainty or belief is assumed to behave as a concrete uncertainty measure, we will use the two-layered logics
Dod?, Adriano Alves. "On rich modal logics". Universidade Federal do Rio Grande do Norte, 2013. http://repositorio.ufrn.br:8080/jspui/handle/123456789/18688.
Pełny tekst źródłaCoordena??o de Aperfei?oamento de Pessoal de N?vel Superior
I thank to my advisor, Jo?o Marcos, for the intellectual support and patience that devoted me along graduate years. With his friendship, his ability to see problems of the better point of view and his love in to make Logic, he became a great inspiration for me. I thank to my committee members: Claudia Nalon, Elaine Pimentel and Benjamin Bedregal. These make a rigorous lecture of my work and give me valuable suggestions to make it better. I am grateful to the Post-Graduate Program in Systems and Computation that accepted me as student and provided to me the propitious environment to develop my research. I thank also to the CAPES for a 21 months fellowship. Thanks to my research group, LoLITA (Logic, Language, Information, Theory and Applications). In this group I have the opportunity to make some friends. Someone of them I knew in my early classes, they are: Sanderson, Haniel and Carol Blasio. Others I knew during the course, among them I?d like to cite: Patrick, Claudio, Flaulles and Ronildo. I thank to Severino Linhares and Maria Linhares who gently hosted me at your home in my first months in Natal. This couple jointly with my colleagues of student flat Fernado, Don?tila and Aline are my nuclear family in Natal. I thank my fianc?e Lucl?cia for her precious a ective support and to understand my absence at home during my master. I thank also my parents Manoel and Zenilda, my siblings Alexandre, Paulo and Paula.Without their confidence and encouragement I wouldn?t achieve success in this journey. If you want the hits, be prepared for the misses Carl Yastrzemski
Esta disserta??o trata do enriquecimento de l?gicas modais. O termo enriquecimento ? usado em dois sentidos distintos. No primeiro deles, de fundo sem?ntico, propomos uma sem?ntica difusa para diversas l?gicas modais normais e demonstramos um resultado de completude para uma extensa classe dessas l?gicas enriquecidas com m?ltiplas inst?ncias do axioma da conflu?ncia. Um fato curioso a respeito dessa sem?ntica ? que ela se comporta como as sem?nticas de Kripke usuais. O outro enriquecimento diz respeito ? expressividade da l?gica e se d? por meio da adi??o de novos conectivos, especialmente de nega??es modais. Neste sentido, estudamos inicialmente o fragmento da l?gica cl?ssica positiva estendido com uma nega??o modal paraconsistente e mostramos que essa linguagem ? forte o suficiente para expressar as linguagens modais normais. Vemos que tamb?m ? poss?vel definir uma nega??o modal paracompleta e conectivos de restaura??o que internalizam as no??es de consist?ncia e determina??o a n?vel da linguagem-objeto. Esta l?gica constitui-se em uma L?gica da Inconsist?ncia Formal e em uma L?gica da Indetermina??o Formal. Em tais l?gicas, com o objetivo de recuperar infer?ncias cl?ssicas perdidas, demonstram-se Teoremas de Ajuste de Derivabilidade. No caso da l?gica estendida com uma nega??o paraconsistente, se removermos a implica??o ainda lidaremos com uma linguagem bastante rica, com ambas nega??es paranormais e seus respectivos conectivos de restaura??o. Sobre esta linguagem estudamos a l?gica modal normal minimal definida por meio de um c?lculo de Gentzen apropriado, ? diferen?a dos demais sistemas estudados at? ent?o, que s?o apresentados via c?lculo de Hilbert. Em seguida ap?s demonstrarmos a completude do sistema dedutivo associado a este c?lculo, introduzimos algumas extens?es desse sistema e buscamos Teoremas de Ajuste de Derivabilidade adequados
Vidal, Wandelmer Amanda. "On modal expansions of t-norm based logics with rational constants". Doctoral thesis, Universitat de Barcelona, 2015. http://hdl.handle.net/10803/316575.
Pełny tekst źródłaPergl, Miroslav. "Vývojové prostředí pro umělou inteligenci Modul fuzzy čísel". Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2009. http://www.nusl.cz/ntk/nusl-218054.
Pełny tekst źródłaGarcía, Z. Yohn E. "Fuzzy logic in process control : a new fuzzy logic controller and an improved fuzzy-internal model controller". [Tampa, Fla] : University of South Florida, 2006. http://purl.fcla.edu/usf/dc/et/SFE0001552.
Pełny tekst źródłaGarcÃa, 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.
Pełny tekst źródłaPaulová, Martina. "Vyhodnocení nabídek pomocí fuzzy logiky". Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2016. http://www.nusl.cz/ntk/nusl-241392.
Pełny tekst źródłaAl-Humaidi, Hanouf M. "A fuzzy logic approach to model delays in construction projects". Columbus, Ohio : Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1185539202.
Pełny tekst źródłaPeterek, Daniel. "Vyhodnocení dodavatelského rizika prostřednictvím fuzzy logiky". Master's thesis, Vysoké učení technické v Brně. Ústav soudního inženýrství, 2020. http://www.nusl.cz/ntk/nusl-414170.
Pełny tekst źródłaKutláková, Klára. "Aplikace fuzzy logiky při hodnocení dodavatelů firmy". Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2016. http://www.nusl.cz/ntk/nusl-241171.
Pełny tekst źródłaŠpinár, Lukáš. "Aplikace fuzzy logiky pro hodnocení kvality zákazníků". Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2021. http://www.nusl.cz/ntk/nusl-444550.
Pełny tekst źródłaPolášek, Petr. "Aplikace fuzzy logiky pro vyhodnocení dodavatelů firmy". Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2016. http://www.nusl.cz/ntk/nusl-241213.
Pełny tekst źródłaBoštíková, Kateřina. "Aplikace fuzzy logiky pro vyhodnocení dodavatelů firmy". Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2021. http://www.nusl.cz/ntk/nusl-444553.
Pełny tekst źródłaIlgner, Tomáš. "Aplikace fuzzy logiky pro vyhodnocení dodavatelů firmy". Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2018. http://www.nusl.cz/ntk/nusl-377383.
Pełny tekst źródłaŠevčík, Andrej. "Aplikace fuzzy logiky pro vyhodnocení dodavatelů firmy". Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2018. http://www.nusl.cz/ntk/nusl-378331.
Pełny tekst źródłaGábrle, Michal. "Aplikace fuzzy logiky pro hodnocení kvality zákazníků". Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2020. http://www.nusl.cz/ntk/nusl-417646.
Pełny tekst źródłaCato, Jamel H. "An Alternative Approach To Regional Economic Income: A Fuzzy Logic Model of BEA Economic Areas". Thesis, Available online, Georgia Institute of Technology, 2005, 2005. http://etd.gatech.edu/theses/available/etd-07282005-132241/.
Pełny tekst źródłaWille J. Belton, Jr., Committee Chair ; Patrick McCarthy, Committee Member ; Usha Nair-Reichert, Committee Member. Includes bibliographical references.
Pipková, Zuzana. "Aplikace fuzzy logiky pro hodnocení kvality zákazníků". Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2016. http://www.nusl.cz/ntk/nusl-240555.
Pełny tekst źródłaBrückner, Jakub. "Rizika spojená s investováním do vybraných kryptoměn a jejich vyhodnocení za využití fuzzy logiky". Master's thesis, Vysoké učení technické v Brně. Ústav soudního inženýrství, 2018. http://www.nusl.cz/ntk/nusl-382705.
Pełny tekst źródłaBiswas, Ajoy. "Dynamic gait stability index using a fuzzy logic model". Thesis, University of Ottawa (Canada), 2006. http://hdl.handle.net/10393/27334.
Pełny tekst źródłaChao-Chin, Kan. "Towards a model of strategic management incorporating fuzzy logic". Thesis, University of Hull, 2010. http://hydra.hull.ac.uk/resources/hull:2681.
Pełny tekst źródłaBaguley, Paul. "Improving the cost model development process using fuzzy logic". Thesis, De Montfort University, 2004. http://hdl.handle.net/2086/4304.
Pełny tekst źródłaKandiah, Sivasothy. "Fuzzy model based predictive control of chemical processes". Thesis, University of Sheffield, 1996. http://etheses.whiterose.ac.uk/3029/.
Pełny tekst źródłaJelena, Kiurski-Milošević. "Model procene kvaliteta podzemne vode sa povećanim sadržajem arsena primenom fazi logike". Phd thesis, Univerzitet u Novom Sadu, Fakultet tehničkih nauka u Novom Sadu, 2015. https://www.cris.uns.ac.rs/record.jsf?recordId=94978&source=NDLTD&language=en.
Pełny tekst źródłaPhD Thesis “Model assessment for groundwater quality with elevated arseniccontent with application of fuzzy logic” was elaborated as a result of the needto explore the possibilities of application of fuzzy logic in the modernapproach of assessing the groundwater quality. Because this issue has notbeen sufficiently explored and it was not given proper emphasis and weight,the main aim of the dissertation is to develop optimal models for assessingthe groundwater quality with elevated arsenic content. Dissertation, besidestheoretical dimensions, presente and evaluate the implementation of thecreated models to the experimentaly selected locality of the city of Zrenjanin.The developed models can be transposed to the urban and rural areas withappropriate iteration.
Švik, Matěj. "Aplikace fuzzy logiky pro hodnocení kvality zákazníků". Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2014. http://www.nusl.cz/ntk/nusl-224309.
Pełny tekst źródłaŠulc, Ondřej. "Aplikace fuzzy logiky pro hodnocení kvality zákazníků". Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2016. http://www.nusl.cz/ntk/nusl-241446.
Pełny tekst źródłaPukaj, Marek. "Aplikace fuzzy logiky pro hodnocení kvality zákazníků". Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2009. http://www.nusl.cz/ntk/nusl-222120.
Pełny tekst źródłaGentile, Michela. "Development of a hierarchical fuzzy model for the evaluation of inherent safety". Diss., Texas A&M University, 2004. http://hdl.handle.net/1969.1/1277.
Pełny tekst źródłaFriedl, Pavel. "Využití umělé inteligence pro snižování rizika v podniku". Master's thesis, Vysoké učení technické v Brně. Ústav soudního inženýrství, 2021. http://www.nusl.cz/ntk/nusl-446766.
Pełny tekst źródłaLevy, Bat-Sheva. "Fuzzy logic, a model to explain students' mathematical decision-making". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape7/PQDD_0026/MQ51391.pdf.
Pełny tekst źródłaBrož, Zdeněk. "Fuzzy hodnocení investic - brownfield redevelopment". Doctoral thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2013. http://www.nusl.cz/ntk/nusl-233755.
Pełny tekst źródłaButler, Mark Henry. "Information processing in liver glucose metabolism". Thesis, University of Liverpool, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.367289.
Pełny tekst źródłaFNU, Vijaykumar Sureshkumar. "Autonomous Control of A Quadrotor UAV Using Fuzzy Logic". University of Cincinnati / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1428049378.
Pełny tekst źródłaBehancová, Katarína. "Aplikace fuzzy logiky pro hodnocení kvality zákazníků". Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2021. http://www.nusl.cz/ntk/nusl-444558.
Pełny tekst źródłaArnett, Timothy J. "Verification of Genetic Fuzzy Systems". University of Cincinnati / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1460731645.
Pełny tekst źródłaMinár, Lukáš. "Aplikace fuzzy logiky pro vyhodnocení dodavatelů firmy". Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2017. http://www.nusl.cz/ntk/nusl-318124.
Pełny tekst źródłaPaul, Lukáš. "Aplikace fuzzy logiky pro hodnocení kvality zákazníků". Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2020. http://www.nusl.cz/ntk/nusl-417671.
Pełny tekst źródłaFroehling, Kryštof. "Aplikace fuzzy logiky pro vyhodnocení dodavatelů firmy". Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2021. http://www.nusl.cz/ntk/nusl-444556.
Pełny tekst źródłaAdamec, Václav. "Aplikace fuzzy logiky při hodnocení dodavatelů firmy". Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2012. http://www.nusl.cz/ntk/nusl-223597.
Pełny tekst źródłaKnight, Karla Grace. "A fuzzy logic model for predicting commercial building design cost overruns". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/MQ60445.pdf.
Pełny tekst źródłaTan, Sing Yee. "Real-time Knowledge-based Fuzzy Logic Model for Soft Tissue Deformation". Thesis, Curtin University, 2014. http://hdl.handle.net/20.500.11937/760.
Pełny tekst źródłaOndřejíková, Zuzana. "Aplikace fuzzy logiky při hodnocení dodavatelů stavebních prací". Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2010. http://www.nusl.cz/ntk/nusl-222447.
Pełny tekst źródłaAntão, Rómulo José Magalhães Martins. "Type-2 fuzzy logic: uncertain systems' modeling and control". Doctoral thesis, Universidade de Aveiro, 2016. http://hdl.handle.net/10773/18041.
Pełny tekst źródłaA última fronteira da Inteligência Artificial será o desenvolvimento de um sistema computacional autónomo capaz de "rivalizar" com a capacidade de aprendizagem e de entendimento humana. Ainda que tal objetivo não tenha sido até hoje atingido, da sua demanda resultam importantes contribuições para o estado-da-arte tecnológico atual. A Lógica Difusa é uma delas que, influenciada pelos princípios fundamentais da lógica proposicional do raciocínio humano, está na base de alguns dos sistemas computacionais "inteligentes" mais usados da atualidade. A teoria da Lógica Difusa é uma ferramenta fundamental na suplantação de algumas das limitações inerentes à representação de informação incerta em sistemas computacionais. No entanto esta apresenta ainda algumas lacunas, pelo que diversos melhoramentos à teoria original têm sido introduzidos ao longo dos anos, sendo a Lógica Difusa de Tipo-2 uma das mais recentes propostas. Os novos graus de liberdade introduzidos por esta teoria têm-se demonstrado vantajosos, particularmente em aplicações de modelação de sistemas não-lineares complexos. Uma das principais vantagens prende-se com o aumento da robustez dos modelos assim desenvolvidos comparativamente àqueles baseados nos princípios da Lógica Difusa de Tipo-1 sem implicar necessariamente um aumento da sua dimensão. Tal propriedade é particularmente vantajosa considerando que muitas vezes estes modelos são utilizados como suporte ao desenvolvimento de sistemas de controlo que deverão ser capazes de assegurar o comportamento ótimo de um processo em condições de operação variáveis. No entanto, o estado-da-arte da teoria de controlo de sistemas baseada em modelos não tem integrado todos os melhoramentos proporcionados pelo desenvolvimento de modelos baseados nos princípios da Lógica Difusa de Tipo-2. Por essa razão, a presente tese propõe-se a abordar este tópico desenvolvendo uma metodologia de síntese de Controladores Preditivos baseados em modelos Takagi-Sugeno seguindo os princípios da Lógica Difusa de Tipo-2. De modo a cumprir este objetivo, quatro linhas de investigação serão debatidas neste trabalho.Primeiramente proceder-se-á ao desenvolvimento de uma metodologia de treino de Modelos Difusos de Tipo-2 simplificada, focada em dois paradigmas: manter a clareza dos intervalos de incerteza introduzidos sobre um Modelo Difuso de Tipo-1; assegurar a validade dos diversos modelos localmente lineares que constituem a estrutura Takagi- Sugeno, de modo a torná-los adequados a métodos de síntese de controladores baseados em modelos. O modelo desenvolvido é tipicamente utilizado para extrapolar o comportamento do sistema numa janela temporal futura. No entanto, quando usados em aproximações de sistemas não lineares, os modelos do tipo Takagi-Sugeno estabelecem um compromisso entre exatidão e complexidade computacional. Assim, é proposta a utilização dos princípios da Lógica Difusa de Tipo-2 para reduzir a influência dos erros de modelação nas estimações obtidas através do ajuste dos intervalos de incerteza dos parâmetros do modelo. Com base na estrutura Takagi-Sugeno, um método de linearização local de modelos não-lineares será utilizado em cada ponto de funcionamento do sistema de modo a obter os parâmetros necessários para a síntese de um controlador otimizado numa janela temporal futura de acordo com os princípios da teoria de Controlo Preditivo Generalizado - um dos algoritmos de Controlo Preditivo mais utilizado na indústria. A qualidade da resposta do sistema em malha fechada e a sua robustez a perturbações serão então comparadas com implementações do mesmo algoritmo baseadas em métodos de modelação mais simples. Para concluir, o controlador proposto será implementado num System-on-Chip baseado no core ARM Cortex-M4. Com o propósito de facilitar a realização de testes de implementação de algoritmos de controlo em sistemas embutidos, será apresentada também uma plataforma baseada numa arquitetura Processor-In-the-Loop, que permitirá avaliar a execução do algoritmo proposto em sistemas computacionais com recursos limitados, aferindo a existência de possíveis limitações antes da sua aplicação em cenários reais. A validade do novo método proposto é avaliada em dois cenários de simulação comummente utilizados em testes de sistemas de controlo não-lineares: no Controlo da Temperatura de uma Cuba de Fermentação e no Controlo do Nível de Líquidos num Sistema de Tanques Acoplados. É demonstrado que o algoritmo de controlo desenvolvido permite uma melhoria da performance dos processos supramencionados, particularmente em casos de mudança rápida dos regimes de funcionamento e na presença de perturbações ao processo não medidas.
The development of an autonomous system capable of matching human knowledge and learning capabilities embedded in a compact yet transparent way has been one of the most sought milestones of Artificial Intelligence since the invention of the first mechanical general purpose computers. Such accomplishment is yet to come but, in its pursuit, important contributions to the state-of-the-art of current technology have been made. Fuzzy Logic is one of such, supporting some of the most used frameworks for embedding human-like knowledge in computational systems. The theory of Fuzzy Logic overcame some of the difficulties that the inherent uncertainty in information representations poses to the development of computational systems. However, it does present some limitations so, aiming to further extend its capabilities, several improvements over its original formalization have been proposed over the years such as Type-2 Fuzzy Logic - one of its most recent advances. The additional degrees of freedom of Type-2 Fuzzy Logic are showing greater potential to supplant its original counterpart, especially in complex non-linear modeling tasks. One of its main outcomes is its capability of improving the developed model’s robustness without necessarily increasing its dimensionality comparatively to a Type-1 Fuzzy Model counterpart. Such feature is particularly advantageous if one considers these model as a support for developing control systems capable of maintaining a process’s optimal performance over changing operating conditions. However, state-of-the art model-based control theory does not seem to be taking full advantage of the improvements achieved with the development of Type-2 Fuzzy Logic based models. Therefore, this thesis proposes to address this problem by developing a Model Predictive Control system supported by Interval Type-2 Takagi- Sugeno Fuzzy Models. To accomplish this goal, four main research directions are covered in this work.Firstly, a simpler method for training a Type-2 Takagi-Sugeno Fuzzy Model focused on two main paradigms is proposed: maintaining a meaningful interpretation of the uncertainty intervals embedded over an estimated Type-1 Fuzzy Model; ensuring the validity of several locally linear models that constitute the Takagi-Sugeno structure in order to make them suitable for model-based control approaches. Based on the developed model, a multi-step ahead estimation of the process behavior is extrapolated. However, as Takagi-Sugeno Fuzzy Models establish a trade-off between accuracy and computational complexity when used as a non-linear process approximation, it is proposed to apply the principles of Type-2 Fuzzy Logic to reduce the influence of modeling uncertainties on the obtained estimations by adjusting the model parameters’ uncertainty intervals. Supported by the developed Type-2 Takagi-Sugeno Fuzzy Model, a locally linear approximation of each current operation point is used to obtain the optimal control law over a prediction horizon according to the principles of Generalized Predictive Control - one of the most used Model Predictive Control algorithms in Industry. The improvements in terms of closed loop tracking performance and robustness to unmodeled operation conditions are then assessed comparatively to Generalized Predictive Control implementations based on simpler modeling approaches. Ultimately, the proposed control system is implemented in a general purpose System-on-a-Chip based on a ARM Cortex-M4 core. A Processor-In-the-Loop testing framework, developed to support the implementation of control loops in embedded systems, is used to evaluate the algorithm’s turnaround time when executed in such computationally constrained platform, assessing its possible limitations before deployment in real application scenarios. The applicability of the new methods introduced in this thesis is illustrated in two simulated processes commonly used in non-linear control benchmarking: the Temperature Control of a Fermentation Reactor and the Liquid Level Control of a Coupled Tanks System. It is shown that the developed control system achieves an improved closed loop performance of the above mentioned processes, particularly in the cases of quick changes in the operation regime and in presence of unmeasured external disturbances.
Lin, Eugene S. "A fuzzy global minimum snake model for contour detection /". Thesis, Connect to this title online; UW restricted, 1999. http://hdl.handle.net/1773/6120.
Pełny tekst źródłaLaskey, Henry Keith. "Fuzzy logic control of torsional lateral modal response in offset geared machine trains". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape17/PQDD_0011/NQ32837.pdf.
Pełny tekst źródłaValiulis, Gediminas. "Sklendinės ir skysčio lygio valdymas". Master's thesis, Lithuanian Academic Libraries Network (LABT), 2005. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2005~D_20050619_185732-75917.
Pełny tekst źródłaSPOLAOR, SIMONE. "Fuzzy logic for the modeling and simulation of complex systems". Doctoral thesis, Università degli Studi di Milano-Bicocca, 2020. http://hdl.handle.net/10281/263538.
Pełny tekst źródłaComplex systems typically display emergent dynamic behaviors, which cannot be outlined by a mere description of their constituting parts. Such systems are ubiquitous in natural and artificial settings, ranging from biology and physics, to engineering and economics, and spark the interest of many scientists belonging to different research fields. To gain better insights on their inner working, complex systems are studied by means of computational methods, which allow to model and reproduce their behavior in silico. As a consequence, several mathematical formalisms were developed in the last decades to model complex systems, capture different features of their dynamic behavior, and leverage any available quantitative or qualitative data about their components. The aim of this thesis is to show how fuzzy logic can be exploited to overcome some of the limitations that still affect the modeling of complex systems, namely: predict emergent dynamic behaviors even when there is a lack of precise quantitative information; deal with the presence of heterogeneous systems components, spanning different levels of temporal, spatial of functional organization; bridge the gap between quantitative and qualitative modeling, in order to define hybrid models that can simultaneously exploit the peculiar advantages provided by both approaches. The novel modeling frameworks presented in this thesis based on fuzzy logic have been employed to analyze the behavior of two real world systems, in the context of cellular biology. The results show that the developed frameworks correctly reproduce the behavior of complex systems and assess their response to perturbations, even when quantitative information is missing or some system components are not fully characterized. These frameworks could find applications in several fields, including, but not limited to, biology, medicine and pharmacology, which often face such challenges.
Chuang, Wei Kuo. "Computational model for engineering design and development". Thesis, Brunel University, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.263496.
Pełny tekst źródłaOdyurt, Uraz. "Application of Fuzzy Logic in Identity-Based Cryptography". Thesis, Linnéuniversitetet, Institutionen för matematik (MA), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-35134.
Pełny tekst źródłaZegzulka, Ivo. "Aplikace fuzzy logiky při hodnocení dodavatelů firmy". Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2014. http://www.nusl.cz/ntk/nusl-224446.
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