Navegando por Assunto "Fuzzy logic"

Agora exibindo 1 - 20 de 22

Acesso aberto (Open Access)
Análise de estoque do processo produtivo utilizando inferência fuzzy para tomada de decisão : estudo de caso
(Universidade Federal do Pará, 2021-07-15) CARVALHO, Pablo Rock Dias; MAGNO, Rui Nelson Otoni; http://lattes.cnpq.br/9017163598972975
The objective of the work is to propose a methodology for stock assessment and decision making in a phyto cosmetics company, using fuzzy logic. In this case study, we tried to answer the level of production and, consequently, the reasonableness of the stock. Such AI technique was chosen because it is the most suitable for better decision making. With the results obtained by the simulation with the real data, it was possible to verify that using the fuzzy logic technique the decision making had a greater precision for the applied scenario and this will bring benefits to the company, as well as the minimization of storage costs and weekly production beyond what is necessary. It is concluded that the methodology was able to achieve the established objectives, indicating by means of fuzzy logic a better decision making in the production of products.
Acesso aberto (Open Access)
Aplicação da lógica fuzzy para analisar o desempenho da logística de sustentabilidade em departamentos industriais
(Universidade Federal do Pará, 2021-08-23) MOURA, Ana Claudia Mota Castilho de; LEITE, Jandecy Cabral; http://lattes.cnpq.br/7279183940171317; QUARESMA, Sil Franciley dos Santos; http://lattes.cnpq.br/6860112313500088
Bearing in mind that the improvement of sustainable logistics activities tend to reduce social, environmental and economic impacts, models for measuring the level of sustainability as a support tool in decision making are increasingly relevant to the process of identifying companies/departments, which need sustainable best practice in order to mitigate costs or increase profit. The objective of the research is to analyze the performance of sustainability logistics in departments of three companies in the electronic segment. As a methodology to develop the research, a sustainable analysis is carried out using a Fuzzy inferences model, in order to consolidate an expert agent, who is able to measure or indicate the level of sustainability performance in the Human Resources (HR) departments. Heritage and Information Technology (IT), the data set for analysis and inference of the input and output variables are in line with the characteristics of activities and practices performed in each department. As a result, it was possible to identify an influence of the “Priority” variable as a function of “Performance”, in addition, company 1 in the electronic segment presented a performance of 87.6 for HR, 88.1 for IT and 65.5 for Equity with the level of “Performance” in Sustainability.
Acesso aberto (Open Access)
Aplicação da matriz Swot com auxílio da lógica fuzzy para definições de propriedades ao planejamento estratégico de uma empresa
(Universidade Federal do Pará, 2019-05-07) FERREIRA, Manuela Jardim de Paiva; QUARESMA, João Nazareno Nonato; http://lattes.cnpq.br/7826389991864785; https://orcid.org/0000-0001-9365-7498; MACÊDO, Emanuel Negrão; http://lattes.cnpq.br/8718370108324505
In order to seek improvement in procedures and increase the competitive market differential, organizations aim to develop programs and planning that assist the needs of companies. Therefore, this research presents a method capable of assisting in the elaboration of internal and external analysis of a company, which is the SWOT Matrix, to provide a self-diagnosis, key points of the organization such as: Weaknesses, Forces, Opportunities and Threats, that interconnected with Fuzzy Logic allows a holistic view of the points that need attention. The methodology used was the application of questionnaires, direct observation and data collection, developed in the form of a case study in a construction material company. The application of the organizational diagnosis is performed through forms, which are compiled and demonstrated through the Fuzzy graph. Then the internal and external environments are analyzed, and the graph of the critical areas is assembled. In this study, the results pointed out that the critical areas were: Marketing, Physical Environment and Procedures, which need to be adapted to the needs of the company. Thus, a new strategic plan was applied involving methods necessary for the success of the critical areas that consequently brought about improvements to the company as a whole, which has undergone relevant modifications. Thus, it was verified that one must be awabhre of the necessary changes in the newix scenarios and in the new times that the market itself in which the company is inserted demands.
Acesso aberto (Open Access)
Aplicação de filtro harmônico em sistemas elétricos de baixa tensão utilizando Lógica Fuzzy
(Universidade Federal do Pará, 2010-09-02) CIRINO, Weverson dos Santos; COSTA JÚNIOR, Carlos Tavares da; http://lattes.cnpq.br/6328549183075122
In an electric system several circuits and industrial equipments that behave as no-lineal devices exist. That behavior generates distortions in the electric system. Those distortions are called of Harmonic. This article introduces one of the several solutions to minimize that problem through the use of passive harmonic filters. The application of that filter will feel through a tool of computer generated to analyze and to detect which harmonic are present in the entrance sign and they harm the quality of the supply service, as well as, in projecting the passive filter. The Algorithm is divided in two phases, one for analysis and detection and the other based on Fuzzy Logic for the definition of the state of the supply service - QEE (Quality of the Electric power).
Acesso aberto (Open Access)
Aplicação de uma metodologia de lógica fuzzy à gestão de estoques: um estudo de caso em uma instituição pública
(Universidade Federal do Pará, 2011-03-01) SANTOS, Gilbert Queiroz dos; BARRA JUNIOR, Walter; http://lattes.cnpq.br/0492699174212608
This paper presents a proposal for implementing a fuzzy logic approach to inventory management on a public institution of the federal administration, located in Manaus-AM. Initially, a review of the literature on logistics and supply management, was made. After that were discussed issues relating to inventory management. Then, we discussed issues related to the fuzzy logic. The proposed methodology will allow a better control over inventory, since it will replace traditional quantitative methods of inventory management. The data were collected directly from the warehouse of the institution under study, and refer to the movement of stock of a particular item during the year 2009. The use of fuzzy logic has attracted increasingly more attention from researchers in different areas of knowledge, being, however, that the great challenge posed to them is the modeling of the data collected, due to its computational support needed application. The interaction with the observed values, operated by the rules of fuzzy logic allows a better control of stock in a warehouse, such as service, parts and tender, since it deals with uncertainty and subjectivity. The methodology appears to be able to indicate a better performance of the quoted shares, being able to operate on an automated tracking and inventory management.
Acesso aberto (Open Access)
Aumento da produtividade: utilizando a metodologia Six Sigma e Lógica Fuzzy, um estudo de caso em uma empresa do Pólo Industrial de Manaus – PIM
(Universidade Federal do Pará, 2011-02-25) FERREIRA, Marcela Seixas; SILVA, Orlando Fonseca; http://lattes.cnpq.br/7387718587227127
This study uses six sigma methodology in order to increase the productivity of the Line of LCD (Liquid Crystal Display) in a factory in the Pólo Industrial de Manaus - PIM and a fuzzy inference system to measure the increase of productivity, where we identified several parameters based on the six sigma methodology. Among which, according to the degree of relevance of specialists in this study, we can highlight: waste, production capacity and time study. Emphasizing further that the proposed system is of great importance to practitioners and researchers of production management, who want results that reduce costs and therefore increase profits of the organization.
Acesso aberto (Open Access)
Estratégia de redução de consumo de energia em redes de sensores sem fio heterogêneas utilizando lógica fuzzy
(Universidade Federal do Pará, 2012-10-26) MACIEL, Christiano do Carmo de Oliveira; COSTA JÚNIOR, Carlos Tavares da; http://lattes.cnpq.br/6328549183075122
The increase in wireless communication and microelectronic devices enables the development of micro sensors with monitoring capable for large areas. Consisting of thousands of sensor nodes, working collaboratively, the Wireless sensor networks have severe energy constraints, due to the limited capacity of batteries of the nodes that compose the network. The power consumption can be minimized by allowing only a few special nodes, called Cluster Head, are responsible for receiving data from its cluster nodes that form and propagate this data to a collection point called Base Station. The choice of optimum cluster head influence on increasing the period of stability of the network, maximizing their useful life. The proposal, presented in this thesis, uses Fuzzy Logic and k-means algorithm based on centralized information on Base Station for election of ideal Cluster Head for Heterogeneous Wireless Sensors Networks. The criteria used to select the ideal Cluster Head are based on the node centrality, energy level and proximity to the Base Station. This dissertation presents the disadvantages when the local information are used to the cluster leader election and the importance of discriminatory treatment on the energy discrepancies in the network. This proposal is compared with the Low Energy Adaptive Clustering Hierarchy (LEACH) and Distributed energy-efficient clustering (DEEC) algorithms. This comparison is evaluated using the end of the stability period and the lifetime of the network.
Acesso aberto (Open Access)
Estratégias de planejamento para otimização do consumo residencial de energia elétrica: uma abordagem baseada em smart home e sistemas fuzzy
(Universidade Federal do Pará, 2017-08-04) ANDRADE, Sérgio Henrique Monte Santo; FRANCÊS, Carlos Renato Lisboa; http://lattes.cnpq.br/7458287841862567
Residential energy consumption has grown steadily over the last decades, becoming a problem for companies in the electricity sector, for consumers and for the environment. The traditional measurement systems are not sufficient and have limitations in providing adequate real-time information about consumption. As also, they are not prepared to deal with variable energy costs in the context of a market with dynamic prices that depend on the energy mix. The future of electric grid, called Smart Grid, will not only be designed with measurements based on the residences, but also on the individualized equipment consumption level. From the residential side, consumers generally suffer from a lack of information on the specific equipment energy consumption impact and, consequently, on the required behavior to reduce its consumption. In this context, this work aims on a smartphone monitoring system concept, to control energy using fuzzy logic, in order to provide to the user ways to maintain his energy consumption, through consumption profiles, within the user-defined consumption patterns. The energy reduction demand through the consumption profiles working with habitant dependence degree on the electrical equipment present in the residence, promote a smaller impact on inhabitant well-being and the daily life.
Acesso aberto (Open Access)
Estudo de engenharia de confiabilidade e aplicação de ferramenta de inteligência artificial na gestão de ativos de uma unidade industrial na Aamazônia
(Universidade Federal do Pará, 2021-06-14) SÁ, João Diego Conceição de; BRAGA, Eduardo de Magalhães; http://lattes.cnpq.br/4783553888547500
For a long time, Industrial Maintenance was considered a cost, naturally unwanted, by asset managers; however, today it is a strategic part and represents a high investment in the world's largest industries. This Maintenance is part of a relatively recent concept, but growing in the industrial environment, called Asset Management and some of its pillars are Reliability and prediction techniques of equipment's operational conditions. In this study, failure data were obtained during 5 (five) years of operation of 6 (six) hydrocarbon centrifugal pumps and from this history the most recent Reliability, Availability and Predictive Oil and Vibration Analyzes were studied. Evaluating several compound parameters in the universe of maintenance and reliability as well as determining which are the priorities of the responsible team, taking into account the operational perception of each component of this team, becomes a complex mission under the human point of view. This complexity is why it was important to use Artificial Intelligence, capable of relating purely subjective qualitative assessments to objective technical data, and demonstrate something feasible, tangible and directly applicable. With the correlation between the parameters, performed by the Fuzzy tool, it was possible to obtain a number that indicates the level of operational condition of the equipment from 0 (zero) to 10 (ten), and from this definition classify them in order of most able to perform the operation and x the most priority in terms of maintenance. With several equipments under his responsibility, obtaining the perception of the quality of Reliability and Availability, joining the data of Maintenance by the Condition of an equipment and relating all this with support from Artificial Intelligence, a manager can obtain which are the equipments that must have more attention and investment at that exact moment. In this study it became clear which equipment should be prioritized in terms of maintenance and which is in better operational condition at a given moment. This can be a model of resource optimization desired by any company that operates in a sustainable and responsible way.
Acesso aberto (Open Access)
GAIA - Uma proposta de agente inteligente acoplado a algoritmos evolucionários para ajuste dinâmico de parâmetros através de conceitos de design inteligente e lógica fuzzy
(Universidade Federal do Pará, 2011-03-31) BRITO, Felipe Houat de; SANTANA, Ádamo Lima de; http://lattes.cnpq.br/4073088744952858
For many years Evolutionary Techniques have been successfully applied in several computational optimization problems. For the matter of obtaining “best results” and a wide exploration of the search surface, the choices for tuning those methods can be exponentially complex and require a large human intervention. Those traditional Darwinian models rely only on randomness and heuristic choices, which are kept fix during the entire algorithm execution without following the individuals’ variability and any eventual changes needed. For that matter, the present work introduces the combination of Intelligent Design Theory aspects with a hybrid approach of an evolutionary algorithm, through the implementation of a Fuzzy Intelligent Designer agent, which dynamically monitors and regulates six chosen algorithms’ parameters, adjusting their values for any given situation. In order to testify these proposals, a Brazilian’s capitals symmetric TSP problem genetic algorithm prototype was also built, allowing the execution of 580 tests, plus several simulations and comparisons between many proposed set of configurations, regular techniques and other recent works. The Intelligent Design intervention deliveries over-expectation results, opening a wide new space for research of the: “Darwin-less Evolutionary Algorithms” or “The Hybrid Self-Adaptable Evolutionary Algorithms”.
Acesso aberto (Open Access)
Gestão integrada de compras: um modelo de processo de seleção de fornecedores baseado em lógica fuzzy
(Universidade Federal do Pará, 2020-12-11) LOPES, Ana Cláudia Brasil; QUARESMA, João Nazareno Nonato; http://lattes.cnpq.br/7826389991864785; https://orcid.org/0000-0001-9365-7498
The The search for competitive advantage through the interconnection of organizational processes allows companies to reduce their time and expenses. Therefore, this study had as main objective to propose strategies that allow to find good practices for these actions, whose main objective was to present a model for the selection process of suppliers based on fuzzy logic to improve activities. In this context, integrated purchasing management, supplier selection, fuzzy logic, its pertinence variables and the use of rules established to meet the procurement procedures of a foundation to support Research, Extension and R&D. Finally, the result is a final assessment of suppliers, using the fuzzy inference method developed in the Matlab® software, in the Fuzzy Logic Toolbox environment, in the Mamdani model, taking into account the social and economic criteria for a possible purchase of a very relevant electronic product in the institution, allowing this tool to become practical and applicable to the needs of the sector. After data obtained, it was concluded that the model proved to be very efficient, presenting a minimum difference from one supplier to the other, where the first place obtained a score of 2.06 more in relation to the selected room, seen as the longest distance in compared to the other classifieds, and it is important to continue the relationship with them in future acquisitions, one must also adopt the use of tools to recover those that did not show good results, in addition to the development of new suppliers.
Acesso aberto (Open Access)
Lógica fuzzy aplicada nas medidas de apoio à tomada de decisões do sistema de gerenciamento de produção de embalagens plásticas
(Universidade Federal do Pará, 2019-06-05) SANTOS, Maycon Bentes dos; NASCIMENTO, Manoel Henrique Reis; http://lattes.cnpq.br/0850846128967798
Currently the automation through decision support systems, plays a fundamental role in the productive chain, from small to large companies, the present study proposes a fuzzy inference model, in the support in the decision measures of the production management system of plastic packaging factory. Analyzing the distinctions of forceful form of each step that end up influencing in the process, and aiming to adapt to the requests of the clients. Using as principle for the proposed system the adequacy of shifts using the maximum output that the factory has. MatLab software was used to treat the data, thus adjusting the variables, which were selected due to their degree of influence in the cycle because they are variables that determine the order of the product's manufacturing, they are: delivery period, quantity required, process production and the number of shifts that will be required to produce a given product, observing with the use of this tool an improvement in the management of shifts, which reduced unnecessary costs and a good understanding in the production cycle in relation to the characteristics of the orders.
Acesso aberto (Open Access)
Metodologia para avaliação do grau de sustentabilidade utilizando a lógica fuzzy: aplicação na indústria madeireira
(Universidade Federal do Pará, 2012-05) LEAL, Maria de Fatima Mendes; MONTENEGRO, André Augusto Azevedo; http://lattes.cnpq.br/1135221873341973; MANESCHY, Carlos Edilson de Almeida; http://lattes.cnpq.br/3638082762153871
The economic needs of industries as well as the necessity of preservation of the environment require a development of its activities in a way that is environmentally responsible and, consequently, with the proper use of natural resources. The economy of the state of Pará is based on agriculture, livestock and vegetable and mineral extraction being the last one represented, mainly by wood. Certainly, it will contribute to the sustainable use of forest resources, an assessment that quantifies the subsystems environmental, economic and social, that are the basis of sustainability. Studying the segment of improvement and exportation of wood it was used fuzzy logic in a proposed methodology for determining the degree of sustainability that, in this study, may vary on a scale from 0 to 10, quantifying not only the condition of sustainability itself, but also indicating which subsystems or components need to be improved. The determination of public policy for the forestry sector can be performed using the same methodology, since that the necessary legal adjustments are made.
Acesso aberto (Open Access)
MGI:: Módulo de gerenciamento inteligente para otimização Do conforto térmico do usuário em smart home
(Universidade Federal do Pará, 2018-08-31) ALFAIA, Rodrigo Dias; FRANCÊS, Carlos Renato Lisboa; http://lattes.cnpq.br/7458287841862567
The incentive to integrate energy efficiency in electrical equipment has increased during last years. A portion of this growth is a result of incentives and the implementation of standards that help in inspection and regulation of minimum specifications for efficiency in electric energy consumption by equipments. In addition, with development of technology, new means of intelligent management are proposed to help optimize energy consumption. This study presents the specification and development of an intelligent module, to be integrated in Smart Consumption Management Architecture (SmartCoM), which involves collection and analysis of meteorological data (temperature and humidity) via the communication interface characteristic of the architecture, from Internet of Things (IoT), for the intelligent management of an air conditioner in order to optimize energy consumption, without losing thermal comfort of resident users. The proposed methodology proved to be efficient in reducing energy consumption compared to the conventional model. Experiments were carried out to estimate the energy consumption of an air conditioner during 2017. The experiments consisted in comparing results of the intelligent management module (MGI) with the conventional model, to show the efficiency of the proposed module, which achieved a general reduction of 24.5% for the night period and 21.1% for the daytime, within the standards of thermal comfort established by national and international
Acesso aberto (Open Access)
Modelo para estimar o prazo de execução de obras residenciais verticais: por meio da lógica fuzzy
(Universidade Federal do Pará, 2017-05-26) MAUÉS, Luiz Maurício Furtado; DUARTE, André Augusto Azevedo Montenegro; http://lattes.cnpq.br/1135221873341973
The definition of the execution time of vertical residential buildings occurs, in most cases, empirically and during the economic and financial feasibility study of the project. This generates high risks and uncertainties regarding the deadline compliance. However, there are tools of computational intelligence that can contribute to the reduction of the degree of uncertainty, among them the fuzzy logic. This work aims to develop a hybrid model to estimate, in a reasonable way, the construction period of vertical residential buildings by associating factor analysis and fuzzy logic. For this it was used a database from the Municipal Secretary of Urban Development of Belém (SEURB) and the developers of the city, which are target of the case study, in the period from 08/24/2015 to 09/11/2015. To build the model, in the first step, i.e., the factor analysis, 127 projects were used; in the second step, the fuzzy inference, 71 projects were used; and, for the validation phase, 16 projects were used. Results obtained showed a significant level of assertiveness, with accuracy of 75%, taking into account an interval whose limits (upper and lower) were calculated in the mean absolute percentage error (MAPE). The model delivered a prediction performance superior to other models already accepted in literature. As theoretical contribution, the work allows a better understanding of the uncertainties and risks regarding the definition of the execution time of real estate projects, and also about how the modeling can help entrepreneurs/construction campany and technicians to make better decisions based on a hybrid model, considering the uncertain and complex environment of the economic and financial feasibility study phase for future projects.
Acesso aberto (Open Access)
Otimização de cobertura, consumo de energia, roteamento e agregação de dados em rede de sensores sem fio utilizando algoritmos genéticos e lógica fuzzy
(Universidade Federal do Pará, 2011-03-04) NUNES, Thiêgo Maciel; MONTEIRO, Dionne Cavalcante; http://lattes.cnpq.br/4423219093583221; CERQUEIRA, Eduardo Coelho; http://lattes.cnpq.br/1028151705135221
The Wireless Sensor Networks (WSN) have limited capacities for processing, storage, communication (bandwidth) and power source, besides having features and basic requirements of a WSN such as: the need for self-organization, communication with diffusion of short-range and multihop routing. This work proposes a tool that optimizes the positioning and the packages delivered through the use of Genetic Algorithm (GA). To resolve the routing problem that improves power consumption and maximize data aggregation is proposed the use of fuzzy logic in the routing protocol Ad hoc Ondemand Distance Vector (AODV). This customization is entitled AODV - Fuzzy for Wireless Sensor Networks (AODV-FWSN). The results show that the proposed solution is efficient and can prolong the life of the WSN and improve the rate of data delivery when compared to similar solutions.
Acesso aberto (Open Access)
Pré-despacho de carga em usinas termoelétricas considerando a gestão da manutenção via lógica fuzzy
(Universidade Federal do Pará, 2018-02-27) FONSECA JÚNIOR, Milton; BEZERRA, Ubiratan Holanda; http://lattes.cnpq.br/6542769654042813
This thesis presents a new proposal for load pre-dispatch considering the technical conditions of the engines of thermoelectric power plants by combining several maintenance and diagnostic techniques and using computational intelligence based on fuzzy logic. Diagnosis of the technical conditions of the engines is done using lubricant analysis, vibration analysis, and thermography. With this data and with the statistical analysis it is possible to predict when an engine can fail and consider this in the load pre-dispatch. To increase engine reliability and power supply, a Maintenance Management Program (MMP) is developed using management tools, applying only 4 TPM (Total Predictive Maintenance) pillars and combined them with predictive maintenance and diagnostics, thus allowing to reduce failures of plant equipment. Some results achieved after the implementation are: reduction of the annual cost of maintenance, reduction of corrective maintenance, increase of the MTBF (Mean Time Between Failures) and decrease of MTTR (Mean Time To Repair) in all areas. In addition, the proposed pre-dispatch scheme ensures the demanded power with a high degree of reliability and quality.
Acesso aberto (Open Access)
Proposta de avaliação de riscos em prensas hidráulicas com lógica Fuzzy
(Universidade Federal do Pará, 2021-04-07) SLUCE, Patrícia; NASCIMENTO, Manoel Henrique Reis; http://lattes.cnpq.br/0850846128967798
The aim of this study was to evaluate the safety level of industrial machines, in particular hydraulic press. The dissertation used hydraulic presses as the object of study. The research instruments used were machine safety analyzes based on normative items preestablished in ABNT NBR: 12100, possible accidents that these machineries can cause. The results show that hydraulic presses cause many accidents, in some situations dying. Through Annex B of ABNT NBR 14153: 2013, there are 4 risk categories for machinery, the greater the degree of risk, the more unsafe the machine is. The appraiser's experience is very important to analyze the machine and reach the level of risk level before and after the adjustment. Finally, it appears that the machine analyzed in this study was at risk level 3, after analysis and adaptations the same machine was at risk level 1, totally acceptable to maintain the operator's safety level.
Acesso aberto (Open Access)
Seleção de fornecedores de peças usando fuzzy AHP no setor de produção de áudio e televisão
(Universidade Federal do Pará, 2019-05-06) VIEIRA, Geórgenes Wilkens Maciel; BRAGA, Eduardo de Magalhães; http://lattes.cnpq.br/4783553888547500; https://orcid.org/0000-0003-0739-7592
Today's highly competitive environment is forcing manufacturing organizations to establish effective long-term collaboration with efficient organizations. As a result, an effective supplier selection process is very important to the success of any manufacturing organization for cooperation and is essential for companies to get competitive advantage. The purpose of this dissertation is to develop a model that support the decision making on the parts suppliers selection, through the Fuzzy Analysis Hierarchical Process (FAHP), in a supply chain. In order to carry out the suppliers selection process, as data input was used the experts team of Procurement, Quality and Process Engineering areas. From this model, a tool was developed that provided the supplier selection automatic result. The main results were achieved: increasing knowledge, applying the FAHP, defining and presenting the priority and the weights of the criteria for decision making of suppliers selection. It was concluded that the presented model is reliable and simple execution, however, it depends on the expertise and the technical knowledge of the participants on the subject in question. The study presented has its importance for the industry as well as the process presenting relevant results.
Acesso aberto (Open Access)
Sistema fuzzy para decisão de handover vertical e maximização da vida útil da bateria em redes multimídia sem fio heterogêneas
(Universidade Federal do Pará, 2019-03-15) COQUEIRO, Thiago Antônio Sidônio; FERREIRA JÚNIOR, José Jailton Henrique; http://lattes.cnpq.br/9031636126268760; FRANCÊS, Carlos Renato Lisboa; http://lattes.cnpq.br/7458287841862567
The applications that consume high bandwidth and energy consumption have been increasing considerably fast in mobile networks. However, the mobile devices do not offer support to battery capacity for the intensive / continuous use of such applications. In addition, mobile networks currently have a high degree of heterogeneity and comprise a wide variety of networks with different technologies, such as LTE, Wi-Fi and WiMAX. Therefore, it is necessary the tradeoff to ensure that QoE is provided to users in this scenario, as well as an energy efficiency strategy designed to extend the battery life of mobile devices. This thesis proposes an intelligent architecture based on Fuzzy logic, capable of providing support to decision making to save the energy of mobile devices within an integrated LTE and Wi-Fi network. Considering user satisfaction, the gains obtained through the PSNR, SSIM and VQM metrics were respectively 32%, 31% and 91% higher than the architecture without Fuzzy logic. Thus, the simulated experiments show the benefits and feasibility of the proposed solution.