Consulta: subjectFacets:"Fuzzy logic"
Registros recuperados: 26
Data/hora: 02/06/2024 16:23:04

Zonificación de aptitud y productividad de suelos para plantaciones de eucalipto en Oaxaca y Veracruz
Provedor de dados: 32
Autores: Delgado Caballero, Carina Edith.
Este estudio es una contribución a la identificación de áreas aptas para el establecimiento de plantaciones forestales comerciales (PFC) de Eucalyptus en el sureste de México. El trabajo se realizó en plantaciones establecidas por la empresa Plantaciones de Tehuantepec (PLANTEH) en el Municipio de Santiago Yaveo, Oaxaca y en un área de influencia que comprende cinco municipios del Estado de Oaxaca (San Juan Guichicovi, Santiago Yaveo, San Juan Cotzocón, San Juan Mazatlán y Matías Romero) y siete en el Estado de Veracruz (Playa Vicente, Juan Rodríguez Clara, Santiago Sochiapan, San Juan Evangelista, Sayula de Alemán, Texistepec y Jesús Carranza). La identificación de áreas aptas se realizó considerando los requerimientos ecológicos de las especies mediante...
Tipo: Tesis
Palavras-chave: Eucalyptus; Evaluación multicriterio; Proceso de Análisis Jerarquizado (AHP); Lógica Fuzzy; Índice de Sitio; Maestría; Forestal; Multicriteria Evaluation; Analytic Hierarchy Process (AHP); Fuzzy logic; Site Index.
Ano: 2007
URL: http://hdl.handle.net/10521/1676

Indigenous Past Climate Knowledge as Cultural Built-in Object and Its Accuracy
Provedor de dados: 7
Autores: Leclerc, Christian; CIRAD, UMR AGAP, Montpellier, France; christian.leclerc@cirad.fr; Mwongera, Caroline ; Montpellier SupAgro, Montpellier, France; carolmwongera@yahoo.com.
In studying indigenous climate knowledge, two approaches can be envisioned. In the first, traditional knowledge is a cultural built-in object; conceived as a whole, its relevance can be assessed by referring to other cultural, economic, or technical components at work within an indigenous society. In the second, the accuracy of indigenous climate knowledge is assessed with western science knowledge used as an external reference. However, assessing the accuracy of indigenous climate knowledge remains a largely untapped area. We aim to show how accurate the culturally built indigenous climate knowledge of extreme climatic events is, and how amenable it is to fuzzy logic. A retrospective survey was carried out individually and randomly among 195 Eastern...
Tipo: Peer-Reviewed Reports
Palavras-chave: Climate change; Drought; Ecological anthropology; Fuzzy logic; Kenya; Meru; Traditional ecological knowledge.
Ano: 2013

DESIGN AND IMPLEMENTATION OF FLC APPLIED TO A SMART GREENHOUSE
Provedor de dados: 70
Autores: Belkadi,Anouar; Mezghani,Dhafer; Mami,Abdelkader.
ABSTRACT Greenhouse cultivation needs an accurate modelling and an optimised control system to ensure an adequate microclimatic condition for plants. It represents a complex task due to the high number of input factors. For this reason, an improved intermediate modelling was established under the platform of the MATLAB/Simulink environment to simulate the energy balance and the fuzzy logic controller (FLC) in order to promote a suitable microclimate through the control of the relevant actuators which have been installed in the greenhouse. In addition, the control of the system has been improved through the integration of the Internet of things for data monitoring and recording in real time. The system was designed, prototyped, and tested in Tunis province...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Fuzzy logic; IoT; Microclimatic control; Smart Greenhouse; Wireless connectivity.
Ano: 2020
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162020000600777

FUZZY MODELING OF THE EFFECTS OF IRRIGATION AND WATER SALINITY IN HARVEST POINT OF TOMATO CROP. PART I: DESCRIPTION OF THE METHOD
Provedor de dados: 70
Autores: Viais Neto,Daniel dos S.; Cremasco,Camila P.; Bordin,Deyver; Putti,Fernando F.; Silva Junior,Josué F.; Gabriel Filho,Luís R. A.
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 conducted at the School of Agriculture of São Paulo State University (UNESP) in Botucatu-SP. The system input variables based in fuzzy rules were soil water tension and doses of water salinity, being defined three fuzzy sets. The output variables was elected from the biometric and productivity analysis that showed statistically significant differences, namely, plant height, stem diameter, leaf area, green...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Fuzzy logic; Drought; Salt stress; Crop management.
Ano: 2019
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162019000300294

FUZZY MODELING IN ORANGE PRODUCTION UNDER DIFFERENT DOSES OF SEWAGE SLUDGE AND WASTEWATER
Provedor de dados: 70
Autores: Putti,Fernando F.; Lanza,Marcio H.; Filho,Hélio G.; Cremasco,Camila P.; Souza,Angela V.; Gabriel Filho,Luís R. A.
ABSTRACT The present work aimed to develop mathematical fuzzy models to evaluate the effects of different doses of sewage sludge and irrigation with wastewater and potable water. Such models were elaborated from an experiment carried out at the Faculty of Agronomic Sciences, in the Department of Soil and Environmental Resources, from the Sao Paulo State University, in Brazil. The experiment was carried out in a randomized block design, in a 6 × 2 factorial scheme, with 6 doses of sewage sludge (0, 25, 50, 75, 100 and 125 of the recommended dose of N), and in the presence and absence of wastewater. In the development of the fuzzy model, the Mamdani method was used for the defuzzification. As input variables, the doses of sewage sludge and the types of water...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Fuzzy logic; Organic matter; Biosolid; Reuse water; Mamdani method.
Ano: 2021
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162021000200204

Fuzzy modeling in the prediction of climate indices and productive performance of quails kept in climate chamber
Provedor de dados: 70
Autores: MARQUES,JORDÂNIO I.; LOPES NETO,JOSÉ P.; LOPES,FERNANDA F. DE M.; FURTADO,DERMEVAL A.; ARAÚJO,TIAGO G. P.
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 climate indices and productive performance of European quails kept in a climatic chamber. The model developed was analyzed from two points of view; the first one took into account the prediction of climate indexes where the input variables were the temperature (°C) and relative humidity (%) of the air. In the second, related to the prediction of productive performance, the input variables were air...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Coturniculture; Fuzzy logic; Productivity; Environmental quality.
Ano: 2016
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162016000400604

PERTINENCE CURVES IN FUZZY MODELING OF THE PRODUCTIVE RESPONSES OF BROILERS
Provedor de dados: 70
Autores: Lourençoni,Dian; Abreu,Paulo G. de; Yanagi Junior,Tadayuki; Campos,Alessandro T.; Yanagi,Silvia de N. M.
ABSTRACT The selection of the type of fuzzy systems pertinence curve allows a better representation of the mathematical model and a smaller simulation error. We aimed to study the effect of pertinence curves in fuzzy modeling of broiler performance, created in different production systems. For the development and testing of fuzzy models, three commercial aviaries (conventional, tunnel with negative pressure, and dark house) were evaluated over one year, totaling six lots per system. For the development of the model, the input variables were enthalpy in each rearing phase (initial: phases 1, 2, and 3; growth: phase 4; and final: phase 5) and the output variables were feed intake (FE), weight gain (GP), feed conversion (FE), and the productive efficiency...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Poultry farming; Production performance; Artificial intelligence; Fuzzy logic.
Ano: 2019
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162019000300265

FUZZY MODEL FOR PREDICTING CLOACAL TEMPERATURE OF BROILER CHICKENS UNDER THERMAL STRESS
Provedor de dados: 70
Autores: Abreu,Lucas H. P.; Yanagi Junior,Tadayuki; Campos,Alessandro T.; Lourençoni,Dian; Bahuti,Marcelo.
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 a fuzzy model, the cloacal temperature of broiler chickens submitted to thermal stress in the second week of life, with varying durations and intensities, in climatized wind tunnels. Mamdani's inference and defuzzification methods by means of the center of gravity were used. One hundred and twenty rules were elaborated. The developed fuzzy model was used to predict the cloacal temperature of broiler...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Physiological response; Thermal environment; Mathematical modeling; Fuzzy logic.
Ano: 2019
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162019000100018

PERFORMANCE OF FUZZY INFERENCE SYSTEMS TO PREDICT THE SURFACE TEMPERATURE OF BROILER CHICKENS
Provedor de dados: 70
Autores: Bahuti,Marcelo; Abreu,Lucas H. P.; Yanagi Junior,Tadayuki; Lima,Renato R. de; Campos,Alessandro T.
ABSTRACT This study aimed to compare fuzzy systems with different configurations to predict the surface temperature (ts) of broiler chickens subjected to different intensities and durations of thermal challenges in the second week of life. Data on the ts of broiler chickens aged 8 to 11 days were acquired by infrared thermography and subjected to combinations of four dry-bulb temperatures (tdb) (24, 27, 30, and 33 °C) and four durations of thermal challenges (DTC) (1, 2, 3, or 4 days). The input variables of the fuzzy systems were tdb and DTC, and the output variable was ts. The Mamdani inference method involving five defuzzification methods [center of gravity (centroid), bisector of the area (bisector), largest of maximum (lom), middle of maximum (mom),...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Pertinence functions; Fuzzy logic; Defuzzification methods; Fuzzy inference methods; Chicks; Infrared thermography.
Ano: 2018
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162018000600813

FUZZY MODELING OF THE EFFECTS OF IRRIGATION AND WATER SALINITY IN HARVEST POINT OF TOMATO CROP. PART II: APPLICATION AND INTERPRETATION
Provedor de dados: 70
Autores: Viais Neto,Daniel dos S.; Cremasco,Camila P.; Bordin,Deyver; Putti,Fernando F.; Silva Junior,Josué F.; Gabriel Filho,Luís R. A.
ABSTRACT Tomato, the most popular greenery, is characterized by being a demanding crop in water and when in prolonged and severe drought, has limitations in its growth and reduction in productivity. In addition, this vegetable is affected by excess salinity in the water, which causes leaf wilting, apex and leaf edges burn until their death. Such effects generally are studied using statistical analysis, but there are mathematical theories that allow finer adjustments, highlighting among them, the fuzzy logic. The objective of this study was to evaluate the effects on the growth and yield of hybrid tomato from different water tensions in the soil and different salinity doses in the irrigation at 120 days after sowing using fuzzy modeling. It was used data...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Fuzzy logic; Hydro potential; Drought; Salt stress.
Ano: 2019
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162019000300305

PRODUCTIVE RESPONSES FROM BROILER CHICKENS RAISED IN DIFFERENT COMMERCIAL PRODUCTION SYSTEMS - PART I: FUZZY MODELING
Provedor de dados: 70
Autores: Lourençoni,Dian; Yanagi Junior,Tadayuki; Abreu,Paulo G. de; Campos,Alessandro T.; Yanagi,Silvia de N. M.
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 predicting the productive performance of broiler chickens as a function of the thermal environment during the various breeding phases. The Mamdani inference and defuzzification methods were used, by means of the gravity center, to develop the fuzzy model. Two hundred and forty-three rules with weighting factors of 1.0 each were elaborated. Three commercial warehouses (conventional system, wind tunnel with...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Poultry farming; Productive performance; Artificial intelligence; Fuzzy logic.
Ano: 2019
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162019000100001

Fuzzy modeling of broiler performance, raised from 1 to 21 days, subject to heat stress
Provedor de dados: 70
Autores: Abreu,Lucas H. P.; Yanagi Junior,Tadayuki; Fassani,Édison J.; Campos,Alessandro T.; Lourençoni,Dian.
ABSTRACT Given the need to obtain systems to better control broiler production environment, we performed an experiment with broilers from 1 to 21 days, which were submitted to different intensities and air temperature durations in conditioned wind tunnels and the results were used for validation of afuzzy model. The model was developed using as input variables: duration of heat stress (days), dry bulb air temperature (°C) and as output variable: feed intake (g) weight gain (g) and feed conversion (g.g-1). The inference method used was Mamdani, 20 rules have been prepared and the defuzzification technique used was the Center of Gravity. A satisfactory efficiency in determining productive responses is evidenced in the results obtained in the model...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Fuzzy logic; Animal environment; Poultry.
Ano: 2015
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162015000600967

Desvendando o software Fuzzy Inference System Professional - FisPro.
Provedor de dados: 14
Autores: CUNHA, L. M. S.; ANTUNES, J. F. G.; MOURA, M. F.
Seres humanos são capazes de lidar com processos bastante complexos, baseados em informações imprecisas ou aproximadas. Para apoiar esses processos, os Sistemas de Inferência Fuzzy Inference Systems (FIS) têm se mostrado ferramentas bastante apropriadas. Este documento apresenta, no formato de tutorial, conceitos sobre FIS e sua estrutura, o software Fuzzy Inference System Professional (FisPro) e um estudo de caso demonstrando a utilização de alguns recursos contidos neste software.
Tipo: Documentos (INFOTECA-E)
Palavras-chave: Sistema de inferência fuzzy; Lógica fuzzy; Software FisPro; Fuzzy Inference Sytem; Fuzzy logic.
Ano: 2020
URL: http://www.infoteca.cnptia.embrapa.br/infoteca/handle/doc/1127936

Non-farm income diversification of rural farm households in Central and Southeastern Europe: an application of fuzzy set theory
Provedor de dados: 31
Autores: Fritzsch,   Jana; Buchenrieder,   Gertrud; Mollers,   Judith.
A fuzzy logic model for quantifying farm households’ potential for non-farm income diversification is developed and applied to 1,077 farm households in Bulgaria, Hungary, Poland, Romania, and Slovenia. About three quarters of households have a diversification potential, but not all households use it. An analysis of diversification potential and diversification behaviour shows that there are seven household types in the sample. Not all development options, i.e. farm development, farm exit, or starting non-farm employment, are equally suitable for all households thus fine targeting of policy measures according to the household type could be important for policy makers.
Tipo: Conference Paper or Presentation
Palavras-chave: Rural development; Non-farm rural employment diversification; Fuzzy logic; Transition countries; Community/Rural/Urban Development; C65; D33; J24; Q12.
Ano: 2010
URL: http://purl.umn.edu/95321

EVALUATING ALTERNATIVE FARMING SYSTEMS: A FUZZY MADM APPROACH
Provedor de dados: 31
Autores: Marks,   Leonie A.; Dunn,   Elizabeth G.
This paper develops a decision support method that integrates measures of achievement in the economic, environmental, and social aspects of farming.  The decision support method combines multiple attribute decision making (MADM) with fuzzy logic.  The fuzzy MADM model fully ranks decision alternatives relative to the preferences of decision makers and overcomes several problems inherent in other MADM approaches.  It is concluded that fuzzy MADM can improve decision making on the farm.
Tipo: Conference Paper or Presentation
Palavras-chave: Fuzzy logic; Fuzzy sets; Multiple attribute decision making; MADM; Institutional and Behavioral Economics; Research Methods/ Statistical Methods.
Ano: 1999
URL: http://purl.umn.edu/21642

Reworking the Standard Model of Competitive Markets: The Role of Fuzzy Logic and Genetic Algorithms in Modelling Complex Non-Linear Economic System
Provedor de dados: 31
Autores: Smith,   Peter.
Some aspects of economic systems (eg, nonlinearity, qualitative variables) are intractable when incorporated into models. The widespread practice of excluding them (or greatly limiting their role) produces deviations of unknown size and form between the resulting models and the reality they purport to represent. To explore this issue, and the extent to which a change in methodology can improve tractability, a combination of two techniques, fuzzy logic and genetic algorithms, was applied to the problem of how the sellers in a freely competitive market, if initially trading at different prices, can find their way to supply/demand equilibrium. A multi-agent model was used to simulate the evolution of autonomously- learnt rule-governed behaviour, (i), under...
Tipo: Working or Discussion Paper
Palavras-chave: Competition; Markets; Walrasian Crier; Equilibrium; Fuzzy logic; Genetic algorithms; Evolutionary algorithms; Industrial Organization.
Ano: 2004
URL: http://purl.umn.edu/30569

A Composite Fuzzy Indicator for Assessing Farm Household Potential for Non-farm Income Diversification
Provedor de dados: 31
Autores: Fritzsch,   Jana.
European politicians encourage the income diversification of rural households through various measures. Although being aware of farm households’ potential for non-farm income diversification seems important for finely-targeting such policy measures, no attempt has thus far been made to summarise the various determinants of income diversification in a single figure. This contribution aims to close this gap. A composite fuzzy indicator that measures farm household potential for non-farm income diversification is developed and applied to 1,053 farm households in Bulgaria, Hungary, Poland, Romania, and Slovenia. The indicator summarises the incentives of and capacities for non-farm income diversification on the individual household member level, and on the...
Tipo: Conference Paper or Presentation
Palavras-chave: Composite indicator; Fuzzy logic; Rural non-farm income diversification; Transition countries; Consumer/Household Economics; C65; J24; Q12; R23.
Ano: 2011
URL: http://purl.umn.edu/114349

Spatial variability of soil fertility and its relation with cocoa yield
Provedor de dados: 91
Autores: Santos,Railton O. dos; Franco,Laís B.; Silva,Samuel A.; Sodré,George A.; Menezes,Agna A.
ABSTRACT The knowledge on the spatial variability of soil properties and crops is important for decision-making on agricultural management. The objective of this study was to evaluate the spatial variability of soil fertility and its relation with cocoa yield. The study was conducted over 14 months in an area cultivated with cocoa. A sampling grid was created to study soil chemical properties and cocoa yield (stratified in season, off-season and annual). The data were analyzed using descriptive and exploratory statistics, and geostatistics. The chemical attributes were classified using fuzzy logic to generate a soil fertility map, which was correlated with maps of crop yield. The soil of the area, except for the western region, showed possibilities ranging...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Precision agriculture; Cocoa; Spatial variability; Fuzzy logic.
Ano: 2017
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662017000200088

Simulation of wheat yield by nitrogen and nonlinearity of environmental conditions
Provedor de dados: 91
Autores: Trautmann,Ana P. B.; Silva,José A. G. da; Binelo,Manuel O.; Valdiero,Antonio C.; Henrichsen,Luana; Basso,Natiane C. F.
ABSTRACT Fuzzy logic can simulate wheat productivity by assisting crop predictability. The objective of the study is the use of fuzzy logic to simulate wheat yield in the conditions of nitrogen use, together with the effects of air temperature and rainfall, in the main cereal succession systems in Southern Brazil. The study was conducted in the years 2014, 2015 and 2016, in Augusto Pestana, RS, Brazil. The experimental design was a randomized block design with four repetitions in a 4 x 3 factorial scheme for N-fertilizer doses (0, 30, 60, 120 kg ha-1) and nutrient supply forms [100% in phenological stage V3 (third expanded leaf); (70%/30%) in the phenological stage V3/V6 (third and sixth expanded leaf) and; fractionated (70%/30%) at the phenological stage...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Triticum aestivum; Temperature; Precipitation; Fuzzy logic; Modeling.
Ano: 2020
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662020000100044

Fuzzy logic and geostatistics in studying the fertility of soil cultivated with the rubber tree
Provedor de dados: 124
Autores: Lima,Julião Soares de Sousa; Silva,Samuel de Assis; Santos,Adilson Almeida dos; Altoé,Marcelo Soares.
ABSTRACT Knowledge of the spatial variability of soil attributes is an aid to soil management. The aim of this study was to apply fuzzy logic and geostatistics in defining the spatial variability of soil fertility, in soil cultivated with the rubber tree. Soil samples from the 0-0.20 m and 0.20-0.40 m layers were collected in a stratified random sampling grid, with a shortest distance of 6 m, for a total of 60 points. The chemical attributes were P, K, Ca, Mg, BS, CEC and V. The spatial dependence of the attributes was determined, and the maps were constructed using ordinary kriging interpolation. The interpolated values were transformed into degrees of pertinence (FI), with the lower and upper limits previously defined, using an increasing model. The...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Soil management; Map of fertility; Fuzzy logic.
Ano: 2018
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902018000200228

Knowledge-based digital soil mapping for predicting soil properties in two representative watersheds
Provedor de dados: 63
Autores: Menezes,Michele Duarte de; Silva,Sérgio Henrique Godinho; Mello,Carlos Rogério de; Owens,Phillip Ray; Curi,Nilton.
ABSTRACT: The estimation of soil physical and chemical properties at non-sampled areas is valuable information for land management, sustainability and water yield. This work aimed to model and map soil physical-chemical properties by means of knowledge-based digital soil mapping approach as a study case in two watersheds representative of different physiographical regions in Brazil. Two watersheds with contrasting soil-landscape features were studied regarding the spatial modeling and prediction of physical and chemical properties. Since the method uses only one value of soil property for each soil type, the way of choosing typical values as well the role of land use as a covariate in the prediction were tested. Mean prediction error (MPE) and root mean...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: ANOVA test; Spatial variability; Fuzzy logic; Typical values.
Ano: 2018
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162018000200144

Solum depth spatial prediction comparing conventional with knowledge-based digital soil mapping approaches
Provedor de dados: 63
Autores: Menezes,Michele Duarte de; Silva,Sérgio Henrique Godinho; Mello,Carlos Rogério de; Owens,Phillip Ray; Curi,Nilton.
Solum depth and its spatial distribution play an important role in different types of environmental studies. Several approaches have been used for fitting quantitative relationships between soil properties and their environment in order to predict them spatially. This work aimed to present the steps required for solum depth spatial prediction from knowledge-based digital soil mapping, comparing the prediction to the conventional soil mapping approach through field validation, in a watershed located at Mantiqueira Range region, in the state of Minas Gerais, Brazil. Conventional soil mapping had aerial photo-interpretation as a basis. The knowledge-based digital soil mapping applied fuzzy logic and similarity vectors in an expert system. The knowledge-based...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Soil survey; Fuzzy logic; Similarity vectors.
Ano: 2014
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162014000400009

Fuzzy Water Irrigation System using Internet of Things
Provedor de dados: 111
Autores: Dhumale, Rakesh Dhumale.
Water is basic source of the farming with limited storage. Out of available land 64% is engaged by the farming and needs nearly 85 % of clean water of total water storage. Proper irrigation helps to improve quality of soil and the growth of crops. The farmer depending upon condition of soil and available water resource has to apply intelligence to get realistic decisions to reduce the wastage of water and ensure full utilization of the water. This gives challenging opportunity to pertain theory and idea of Artificial Intelligence (AI) in the process of water irrigation. In this paper, an intelligent approach for the water irrigation of crop is proposed. Smart Fuzzy Water Irrigation System (FWIS) using Internet of Things (IoT) includes two types of nodes...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Irrigation system; Fuzzy logic; Internet of Things; Soil parameters.
Ano: 2023
URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/5398

Fuzzy subset approach in coupled population dynamics of blowflies
Provedor de dados: 48
Autores: CASTANHO,MARÍA J.P.; MAGNAGO,KARINE F; BASSANEZI,RODNEY C; GODOY,WESLEY A.C.
This paper is a study on the population dynamics of blowflies employing a density-dependent, non-linear mathematical model and a coupled population formalism. In this study, we investigated the coupled population dynamics applying fuzzy subsets to model the population trajectory, analyzing demographic parameters such as fecundity, survival, and migration. The main results suggest different possibilities in terms of dynamic behavior produced by migration in coupled populations between distinct environments and the rescue effect generated by the connection between populations. It was possible to conclude that environmental heterogeneity can play an important role in blowfly metapopulation systems. The implications of these results for population dynamics of...
Tipo: Journal article
Palavras-chave: Fuzzy logic; Blowflies; Coupled populations; Population biology.
Ano: 2006
URL: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-97602006000200016

Estimating the average length of hospitalization due to pneumonia: a fuzzy approach
Provedor de dados: 56
Autores: Nascimento,L.F.C.; Rizol,P.M.S.R.; Peneluppi,A.P.
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 José dos Campos, SP, Brazil. The model was built with four inputs related to pollutant concentrations and effective temperature, and the output was related to the mean length of hospitalization. Each input had two membership functions and the output had four membership functions, generating 16 rules. The model was validated against real data, and a receiver operating characteristic (ROC) curve was...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Air pollutants; Fuzzy logic; Pneumonia; Particulate matter; Sulfur dioxide.
Ano: 2014
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2014001100977

Embedded system in Arduino platform with Fuzzy control to support the grain aeration decision
Provedor de dados: 65
Autores: Szesz Junior,Albino; Monteiro Junior,Marcos; Dias,Ariangelo Hauer; Mathias,Ivo Mário; Conti,Giuvane.
ABSTRACT: Aeration is currently the most commonly used technique to improve the drying and storage of grain, depending on temperature and water content of the grain, as of the temperature and relative humidity of the outside air. In order to monitor temperature and humidity of the grain mass, it is possible to have a network of sensors in the cells of both internal and external storage. Use of artificial intelligence through Fuzzy theory, has been used since the 60s and enables their application on various forms. Thus, it is observed that the aeration of grain in function of representing a system of controlled environment can be studied in relation to the application of this theory. Therefore, the aim of this paper is to present an embedded Fuzzy control...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Arduino; Agriculture; Mathematical model; Fuzzy logic; Grain aeration.
Ano: 2016
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782016001101917