Fuzzy Rule
Mostrando 1-12 de 45 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. Fuzzy Boundary for Beams Vibrations in Vehicles
ABSTRACT This work aims to study the transversal motion of a car’s chassis, modeled by a beam and supported at its ends by two sets of spring-damper elements. A finite differences method is utilized along with Robin boundary conditions to solve the mathematical modeling. The constants of the boundary conditions are modeled by a fuzzy parameter obtained thr
Trends in Computational and Applied Mathematics. Publicado em: 2022
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3. Classificação de Gêneros Musicais Latinos e suas Emoções: Abordagens Bayesiana e Fuzzy
RESUMO O objetivo deste trabalho é investigar métodos de classificação inteligente para a tarefa de classificação de gêneros musicais latinos a partir de um conjunto de dados reais. Neste estudo, as características emocionais predominantes de cada gênero também são consideradas, com objetivo de possibilitar ao usuário escolher músicas de acordo
TEMA (São Carlos). Publicado em: 2017-12
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4. FUZZY MODELING ON WHEAT PRODUCTIVITY UNDER DIFFERENT DOSES OF SLUDGE AND SEWAGE EFFLUENT
ABSTRACT: This study aimed to evaluate the effects of fertilization with composted sewage sludge and irrigation with drinking water (DW) and fertigation with wastewater (WW) in wheat crop using fuzzy rule-based system. The experiment was conducted in the Department of Soil and Environmental Resources, of FCA, UNESP - Botucatu, with factorial 6 × 2, which we
Eng. Agríc.. Publicado em: 2017-12
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5. Fuzzy control applied to an electrical power generation system mounted on tractors for driving of agricultural implements
ABSTRACT The demand of the agricultural sector for more operationally efficient machines and implements motivated the development of alternatives for driving of this equipment. Aiming an electrical supply to apply in agricultural implements, this study proposes a system that uses the tractor power take off to activate a synchronous generator, using a fuzzy l
Eng. Agríc.. Publicado em: 2016-10
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6. A comparative analysis of three metaheuristic methods applied to fuzzy cognitive maps learning
This work analyses the performance of three different population-based metaheuristic approaches applied to Fuzzy cognitive maps (FCM) learning in qualitative control of processes. Fuzzy cognitive maps permit to include the previous specialist knowledge in the control rule. Particularly, Particle Swarm Optimization (PSO), Genetic Algorithm (GA) and an Ant Col
Pesqui. Oper.. Publicado em: 08/11/2013
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7. 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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8. HYBRID SYSTEM FOR RULE EXTRACTION APPLIED TO DIAGNOSIS OF POWER TRANSFORMERS / SISTEMA HÍBRIDO DE EXTRAÇÃO DE REGRAS APLICADO A DIAGNÓSTICO DE TRANSFORMADORES
Este trabalho tem como objetivo construir um classificador baseado em regras de inferência fuzzy, as quais são extraídas a partir de máquinas de vetor suporte (SVMs) e ajustadas com o auxílio de um algoritmo genético. O classificador construído visa a diagnosticar transformadores de potência. As SVMs são sistemas de aprendizado baseados na teoria do
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 10/09/2012
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9. 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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10. Application of ANFIS for analytical modeling of tensile strength of functionally graded steels
In the present study, the tensile strength of ferritic and austenitic functionally graded steels produced by electroslag remelting has been modeled. To produce functionally graded steels, two slices of plain carbon steel and austenitic stainless steels were spot welded and used as electroslag remelting electrode. Functionally graded steel containing graded l
Materials Research. Publicado em: 05/04/2012
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11. 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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12. Classification of the severity of diabetic neuropathy: a new approach taking uncertainties into account using fuzzy logic
OBJECTIVE: This study proposes a new approach that considers uncertainty in predicting and quantifying the presence and severity of diabetic peripheral neuropathy. METHODS: A rule-based fuzzy expert system was designed by four experts in diabetic neuropathy. The model variables were used to classify neuropathy in diabetic patients, defining it as mild, moder
Clinics. Publicado em: 2012