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RESUMO:Entender o comportamento e suas pequenas variações decorrentes das mudanças do ambiente térmico e desenvolver modelos que simulem o bem-estar a partir de respostas das aves ao ambiente constituem o primeiro passo para a criação de um sistema de monitoramento digital de aves em galpões de produção. Neste trabalho, foi desenvolvido um sistema de suporte à decisão com base na teoria dos conjuntos fuzzy para a estimativa do bem-estar de matrizes pesadas em função de frequências e duração dos comportamentos expressos pelas aves. O desenvolvimento do sistema passou por cinco etapas distintas: 1) organização dos dados experimentais; 2) apresentação dos vídeos em entrevista com "especialista"; 3) criação das funções de pertinência com base nas entrevistas e na revisão da literatura; 4) simulação de frequências de ocorrências e tempos médios de expressão dos comportamentos classificados como indicadores de bem-estar utilizando equações de regressão obtidas na literatura, e 5) construção das regras, simulação e validação do sistema. O sistema fuzzy desenvolvido estimou satisfatoriamente o bem-estar de matrizes pesadas, tendo na sua última versão, com maior número de regras, acertado 77,8% dos dados experimentais, comparados com as respostas esperadas por um especialista. O sistema pode ser utilizado como instrumento matemático-computacional para apoiar decisões em galpões de produção de matrizes pesadas. PALAVRAS-CHAVE:lógica fuzzy, bem-estar animal, simulação, termoneutralidade, avicultura. SYSTEM FUZZY FOR ESTIMATE OF WELFARE OF BROILER BREEDERSABSTRACT: To understand the behavior and its small variations originated from changes of the thermal environment and to develop models that simulate the welfare from broiler breeders' answer to the environment constitute the first step for the creation of a system for digital monitoring of broiler breeders housing. In this paper it was developed a system of decision support based on the fuzzy conjuncts' theory to estimate the welfare of broiler breeders in function of frequencies and times of occurrences of behaviors. The controller's development passed for five distinct steps: 1) organization of the experimental data; 2) observation of the videos in interview with specialist; 3) creation of the relevancy functions according to the interviews and the literature revision; 4) frequency simulation of occurrences and average times of expression of the classified behaviors such as indicators of welfare using regression equation from the literature, and 5) construction of rules, simulation and validation of the controller step by step, comparing the results between the simulations. The developed controller satisfactorily estimated the welfare of broiler breeders, having in its version with larger number of rules, estimated about 80% of the experimental data correctly when compared with the answers expected by a specialist. The system can be used as mathematician-computational instrument to support decisions in broiler breeders housing.

The fuzzy logic accepts infinite intermediate logical values between false and true. In view of this principle, a system based on fuzzy rules was established to provide the best management of Catasetum fimbriatum. For the input of the developed fuzzy system, temperature and shade variables were used, and for the output, the orchid vitality. The system may help orchid experts and amateurs to manage this species. "Low" (L), "Medium" (M) and "High" (H) were used as linguistic variables. The objective of the study was to develop a system based on fuzzy rules to improve management of the Catasetum fimbriatum species, as its production presents some difficulties, and it offers high added value. RESUMOA lógica fuzzy admite infinitos valores lógicos intermediários entre o falso e o verdadeiro. Com esse princípio, foi elaborado neste trabalho um sistema baseado em regras fuzzy, que indica a melhor forma de manejar a espécie Catasetum fimbriatum. O sistema fuzzy desenvolvido teve como entradas as variáveis temperatura e sombreamento, e a saída à vitalidade das orquídeas, que poderá auxiliar os orquidófilos no manejo da espécie, e foram utilizadas as variáveis linguísticas "Baixo" (B), "Médio" (M) e "Alto" (A). O objetivo deste trabalho é desenvolver um sistema baseado em regras fuzzy para auxiliar no manejo da espécie Catasetum fimbriatum, pois se trata de uma espécie de difícil cultivo e de alto valor agregado.Palavras-chave: Manejo, cultivar, habitat e sistemas Fuzzy

The fuzzy logic admits infinite intermediate logical values between false and true. With this principle, it developed in this study a system based on fuzzy rules, which indicates the body mass index of ruminant animals in order to obtain the best time to slaughter. The controller developed has as input the variables weight and height, and as output a new body mass index, called Fuzzy Body Mass Index (Fuzzy BMI), which may serve as a detection system at the time of livestock slaughtering, comparing one another by the linguistic variables "Very Low", "Low", "Average ", "High" and "Very High". For demonstrating the use application of this fuzzy system, an analysis was made with 147 Nellore beeves to determine Fuzzy BMI values for each animal and indicate the location of body mass of any herd. The performance validation of the system was based on a statistical analysis using the Pearson correlation coefficient of 0.923, representing a high positive correlation, indicating that the proposed method is appropriate. Thus, this method allows the evaluation of the herd comparing each animal within the group, thus providing a quantitative method of farmer decision. It was concluded that this study established a computational method based on fuzzy logic that mimics part of human reasoning and interprets the body mass index of any bovine species and in any region of the country.

This study aimed to develop a fuzzy mathematical model to estimate the impacts of global warming on the vitality of Laelia purpurata growing in different Brazilian environmental conditions. In order to develop the mathematical model was considered as intrinsic factors the parameters: temperature, humidity and shade conditions to determine the vitality of plants. Fuzzy model results could accurately predict the optimal conditions for cultivation of Laelia purpurata in several sites of Brazil. Based on fuzzy model results, we found that higher temperatures and lacking of properly shading can reduce the vitality of orchids. Fuzzy mathematical model could precisely detect the effect of higher temperatures causing damages on vitality of plants as a consequence of global warming.