Fuzzy Rules
Mostrando 1-12 de 78 artigos, teses e dissertações.
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1. FUZZY MODELING OF SALINITY EFFECTS ON PUMPKIN (Cucurbita pepo) DEVELOPMENT
ABSTRACT The low quality of the water currently used for irrigation purposes harms the quality of the products and can lead to a reduction in production. Thus, the objective of this work was to verify the effect of saline water in irrigation water, on biometric variables of pumpkin crop using a system based on fuzzy rules. The agronomic experimental part of
Engenharia Agrícola. Publicado em: 2022
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2. FUZZY MODELING OF THE EFFECTS OF IRRIGATION AND WATER SALINITY IN HARVEST POINT OF TOMATO CROP. PART I: DESCRIPTION OF THE METHOD
ABSTRACT It was used statistical techniques for the evaluation of agricultural experiments, but there are mathematical theories that allow finer adjustments, highlighting among them, the fuzzy logic. The objective of the study was characterizing a method of fuzzy modeling from an agronomic experiment. For this study it was used data from an experiment conduc
Eng. Agríc.. Publicado em: 19/06/2019
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3. FUZZY MODEL FOR PREDICTING CLOACAL TEMPERATURE OF BROILER CHICKENS UNDER THERMAL STRESS
ABSTRACT Broiler chickens submitted to different intensities and durations of thermal stress are subject to variation in cloacal temperature and, consequently, to a decrease in performance. Given the complexity of these interactions, artificial intelligence is a useful methodology for decision-making. Thus, this study aimed to assess and predict, by means of
Eng. Agríc.. Publicado em: 2019-02
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4. PRODUCTIVE RESPONSES FROM BROILER CHICKENS RAISED IN DIFFERENT COMMERCIAL PRODUCTION SYSTEMS - PART I: FUZZY MODELING
ABSTRACT Broiler chickens are classified as homoeothermic animals and require a production environment within well-defined thermal comfort intervals. Therefore, the development of algorithms (mathematical models) to control the environment that can be embedded in microcontrollers becomes necessary. Hence, this work aimed to develop a fuzzy model for predicti
Eng. Agríc.. Publicado em: 2019-02
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5. 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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6. Fuzzy modeling in the prediction of climate indices and productive performance of quails kept in climate chamber
ABSTRACT With the demand in the production at large-scale food, confinement of animals has become a necessity of the productive process because of the increase in production capacity and optimization of the spaces reserved for creations. In this context, the aim of this study was the development and validation of models using fuzzy logic for predicting clima
Eng. Agríc.. Publicado em: 2016-08
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7. Fuzzy Classification in the Determination of Input Application Zones
ABSTRACT Correctly interpreting soil fertility and its spatial distribution within an area helps to lessen losses and environmental effects associated with agriculture, to optimize fertilization and liming practices. This study is aimed at using concepts and methods from spatial and temporal analyses to soil fertility and to develop a fuzzy classification me
Rev. Bras. Ciênc. Solo. Publicado em: 28/07/2016
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8. Automatic segmentation and classification of blood components in microscopic images using a fuzzy approach
INTRODUCTION: Automatic detection of blood components is an important topic in the field of hematology. Segmentation is an important step because it allows components to be grouped into common areas and processed separately. This paper proposes a method for the automatic segmentation and classification of blood components in microscopic images using a genera
Rev. Bras. Eng. Bioméd.. Publicado em: 2014-12
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9. Estimating the average length of hospitalization due to pneumonia: a fuzzy approach
Exposure to air pollutants is associated with hospitalizations due to pneumonia in children. We hypothesized the length of hospitalization due to pneumonia may be dependent on air pollutant concentrations. Therefore, we built a computational model using fuzzy logic tools to predict the mean time of hospitalization due to pneumonia in children living in São
Braz J Med Biol Res. Publicado em: 29/08/2014
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10. 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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11. Controle preditivo baseado em modelo neuro-fuzzy de sistemas não-lineares aplicado em sistema de refrigeração = : Model predictive control based on neuro-fuzzy nonlinear systems applied to a refrigeration plant / Model predictive control based on neuro-fuzzy nonlinear systems applied to a refrigeration plant
Refrigeration systems can be found in many different branches of industry and are characterized as great energy consumers with considerable non-linear behavior. Several studies have been developed to promote the reduction of energy costs and to minimize the effects of nonlinearities in these systems. The use of automation and process control, particularly th
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 03/07/2012
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12. 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