Fuzzy Rule Based Models
Mostrando 1-12 de 12 artigos, teses e dissertações.
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1. FUZZY MODELING OF THE EFFECT OF IRRIGATION DEPTHS ON BEET CULTIVARS
ABSTRACT The objective of this study was to develop a Fuzzy Rule-Based System (FRBS) for the mathematically modeling of the irrigation level effect on beet cultivars ( Beta vulgaris L.). From an agronomic experiment carried out in a protected environment (greenhouse), it was defined as input variables, for each cultivar, the irrigation levels (depths of 25,
Engenharia Agrícola. Publicado em: 2022
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2. Assessment Methodology for E-Government Technical Interoperability Maturity Level. / Metodologia para AferiÃÃo do NÃvel de Maturidade Associado à Interoperabilidade TÃcnica nas AÃÃes de Governo EletrÃnico.
The unstructured and unplanned implementation of technological solutions leads to wastage of resources and imposes itself as a barrier to achieving the potential benefits of information technologies and communication. The problem increases when managers who operate these technologies are part of the public administration, as structural issues make this scena
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 23/11/2012
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3. Evolving granular systems = : Sistemas granulares evolutivos / Sistemas granulares evolutivos
In recent years there has been increasing interest in computational modeling approaches to deal with real-world data streams. Methods and algorithms have been proposed to uncover meaningful knowledge from very large (often unbounded) data sets in principle with no apparent value. This thesis introduces a framework for evolving granular modeling of uncertain
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 19/07/2012
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4. Modelling and analysis of cutting force and surface roughness in milling operation using TSK-type fuzzy rules
The present paper discusses on development of fuzzy rule based models (FRBMs) for predicting cutting force and surface roughness in milling operation. The models use TakagiSugeno-Kang-type (TSK-type) fuzzy rule to study the effect of four (input) cutting parameters (cutting speed, feed rate, radial depth of cut and axial depth of cut) on outputs (cutting for
Journal of the Brazilian Society of Mechanical Sciences and Engineering. Publicado em: 2012-03
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5. Fuzzy logic applied to the modeling of the transfer of water in soils / LÃgica fuzzy aplicada à modelagem da transferÃncia de Ãgua em solos
Modeling water movement in the unsaturated soil requires a great number of parameters and variables such as the initial soil-water content, the saturated soil-water content, and the saturated hydraulic conductivity, which can relatively easily be assessed. Other functions such as hydraulic conductivity and matric potential which are nonlinear functions of th
Publicado em: 2009
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6. Fuzzy modeling to predict the risk of recurrence and progression of superficial bladder tumors / Modelagem fuzzy para predizer os riscos de recidiva e progressão de tumores superficiais de bexiga
Nowadays, the bladder cancer is the fourth most common cancer in adults and the second most frequent urogenital tumor. Predicting recurrence and progression of superficial bladder tumors, with available clinical information to decide the therapy to be used is hard work. In this work, two mathematical models were developed to help specialist on the decision p
Publicado em: 2009
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7. PDE models associated to fuzzy logic ans statistical methods in the treatment of uncertainties : an application on food-and-mooth disease / Modelos de EDP integrados a logica Fuzzy e metodos probabilisticos no tratamento de incertezas : uma aplicação a febre aftosa em bovinos
The foot-and-mouth disease is a viral, infectum contagious pathology, characterized for a scene full of inherent uncertainties, resultants of the influence of social, economic and environmental factors related to the transmission process, that can occur for direct and indirect means. In Epidemiology, great part of the uncertainties are treated either by the
Publicado em: 2008
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8. An investigation of the relationship between implicative fuzzy associative memories and fuzzy relational with applications / Um estudo das ligações entre memorias associativas fuzzy implicativas e equações relacionadas fuzzy com aplicações
Associative Memories (AMs) allow for the storage of pattern associations and the retrieval of the desired output patterns upon the presentation of a possibly noisy or imcomplete version of an input pattern. Fuzzy Associative Memories (FAMs) are models of AMs whose input and output patterns are fuzzy sets. FAMs have proven to be a powerful tool for implementi
Publicado em: 2007
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9. Teoria de cojuntos fuzzi no estudo da dinamica da agua e de solutos no solo / Fuzzi sets theory applied in the soil s water and solutes dynamics
Conhecer a dinâmica da água e de solutos no solo é condição imprescindível para a produção agrícola sustentável. O sucesso destes modelos numéricos em descrever a dinâmica da água e de solutos no solo está intimamente ligado à precisão com que os parâmetros físicohídricos, envolvidos nestes processos são determinados. De uma maneira geral
Publicado em: 2007
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10. Sistemas dinamicos e controladores fuzzy : um estudo da dispersão da Morte Subita dos Citros em São Paulo / Dynamic systems and fuzzy controllers : a study of the dispersion of the Citrus Sudden Death in São Paulo
Citrus Sudden Death is a relatively new disease that has affected and killed sweet oranges grafted on the Rangpur lime. This is a worrying characteristic because the Rangpur lime amounts to 85% of the citrus orchards in São Paulo and the south of "Triângulo Mineiro". It is believed that the disease is caused by a virus transmitted by citrus aphids (vectors
Publicado em: 2005
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11. Desenvolvimento de uma plataforma hÃbrida para descoberta de conhecimento em bases de dados
Artificial Neural Networks (ANN) have successfully been used in tasks as the mapping of complex functions and pattern recognition. This success is due to the ANN ability to make calculations of complicated and undetermined data, learn from examples, generalize the learned information, extract patterns and discover tendencies. Despite these advantages, it is
Publicado em: 2004
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12. NEURO-FUZZY BSP HIERARCHICAL SYSTEM FOR TIME FORECASTING AND FUZZY RULE EXTRACTION DOR DATA MINING APPLICATONS / SISTEMA NEURO-FUZZY HIERÁRQUICO BSP PARA PREVISÃO E EXTRAÇÃO DE REGRAS FUZZY EM APLICAÇÕES DE DATA MINING
This dissertation investigates the use of a Neuro-Fuzzy Hierarchical system for time series forecasting and fuzzy rule extraction for Data Mining applications. The objective of this work was to extend the Neuro-Fuzzy BSP Hierarchical model for the classification of registers and time series forecasting. The process of classification of registers in the Data
Publicado em: 2000