1000 resultados para Tomada de decisão : Indicadores


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The high blood pressure is a multifactorial chronic disease which possesses emotional and social features in the illness appearance and evolution and in the adherence to the treatment which involves a decision-making through patient so that he or she process the necessary changes on harmful living habits. Adhesion, traditionally, it is referred to the patient to answer to the doctor orientations or of other health professional, about the appearance to the appointment with a doctor, about the use of medicine or lifestyle changes and maintaining this adhesion is the main problem to be overcame. It is expected the adhesion will ever be a continual, stable and satisfactory action, disregarding the complexity of subjectivity processes which permeate the sicken. This research aimed to investigate the difficulties which the person with high blood pressure has to adhere to the treatment, from the signification processes which give sense to the actions dealing with the adhesion. The study was carried out with 48 users of assistance program to the high blood pressure patient from Hospital Universitário from Natal RN, between 40-65 age. The answers were submitted to a double analysis process: 1) answer systematization in categories and codes and admission in statistical program SPSS (Statistical Package of Social Science), for generation of descriptive statistics; 2) Sense and signification analysis which permeated the deepener statement and interpretatively. The greater difficulties found are present on low-salt and law-calorie diets, in the dealing with everyday feeling and stress, being these factors cited as direct motive to the high blood pressure, regardless of interviewee s sex. It is observed there is not adhesion, but adhering, as an experienced everyday process. This work contributes with its results, assessing the used strategies by program with the aim of increasing the adhesion rates

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The use of intelligent agents in multi-classifier systems appeared in order to making the centralized decision process of a multi-classifier system into a distributed, flexible and incremental one. Based on this, the NeurAge (Neural Agents) system (Abreu et al 2004) was proposed. This system has a superior performance to some combination-centered methods (Abreu, Canuto, and Santana 2005). The negotiation is important to the multiagent system performance, but most of negotiations are defined informaly. A way to formalize the negotiation process is using an ontology. In the context of classification tasks, the ontology provides an approach to formalize the concepts and rules that manage the relations between these concepts. This work aims at using ontologies to make a formal description of the negotiation methods of a multi-agent system for classification tasks, more specifically the NeurAge system. Through ontologies, we intend to make the NeurAge system more formal and open, allowing that new agents can be part of such system during the negotiation. In this sense, the NeurAge System will be studied on the basis of its functioning and reaching, mainly, the negotiation methods used by the same ones. After that, some negotiation ontologies found in literature will be studied, and then those that were chosen for this work will be adapted to the negotiation methods used in the NeurAge.

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To manage the complexity associated with the management of multimedia distributed systems, a solution must incorporate concepts of middleware in order to hide specific hardware and operating systems aspects. Applications in these systems can be implemented in different types of platforms, and the components of these systems must interact each with the other. Because of the variability of the state of the platforms implementation, a flexible approach should allow dynamic substitution of components in order to ensure the level of QoS of the running application . In this context, this work presents an approach in the layer of middleware that we are proposing for supporting dynamic substitution of components in the context the Cosmos framework , starting with the choice of target component, rising taking the decision, which, among components candidates will be chosen and concluding with the process defined for the exchange. The approach was defined considering the Cosmos QoS model and how it deals with dynamic reconfiguration

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The process for choosing the best components to build systems has become increasingly complex. It becomes more critical if it was need to consider many combinations of components in the context of an architectural configuration. These circumstances occur, mainly, when we have to deal with systems involving critical requirements, such as the timing constraints in distributed multimedia systems, the network bandwidth in mobile applications or even the reliability in real-time systems. This work proposes a process of dynamic selection of architectural configurations based on non-functional requirements criteria of the system, which can be used during a dynamic adaptation. This proposal uses the MAUT theory (Multi-Attribute Utility Theory) for decision making from a finite set of possibilities, which involve multiple criteria to be analyzed. Additionally, it was proposed a metamodel which can be used to describe the application s requirements in terms of the non-functional requirements criteria and their expected values, to express them in order to make the selection of the desired configuration. As a proof of concept, it was implemented a module that performs the dynamic choice of configurations, the MoSAC. This module was implemented using a component-based development approach (CBD), performing a selection of architectural configurations based on the proposed selection process involving multiple criteria. This work also presents a case study where an application was developed in the context of Digital TV to evaluate the time spent on the module to return a valid configuration to be used in a middleware with autoadaptative features, the middleware AdaptTV

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In the world we are constantly performing everyday actions. Two of these actions are frequent and of great importance: classify (sort by classes) and take decision. When we encounter problems with a relatively high degree of complexity, we tend to seek other opinions, usually from people who have some knowledge or even to the extent possible, are experts in the problem domain in question in order to help us in the decision-making process. Both the classification process as the process of decision making, we are guided by consideration of the characteristics involved in the specific problem. The characterization of a set of objects is part of the decision making process in general. In Machine Learning this classification happens through a learning algorithm and the characterization is applied to databases. The classification algorithms can be employed individually or by machine committees. The choice of the best methods to be used in the construction of a committee is a very arduous task. In this work, it will be investigated meta-learning techniques in selecting the best configuration parameters of homogeneous committees for applications in various classification problems. These parameters are: the base classifier, the architecture and the size of this architecture. We investigated nine types of inductors candidates for based classifier, two methods of generation of architecture and nine medium-sized groups for architecture. Dimensionality reduction techniques have been applied to metabases looking for improvement. Five classifiers methods are investigated as meta-learners in the process of choosing the best parameters of a homogeneous committee.

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The use of multi-agent systems for classification tasks has been proposed in order to overcome some drawbacks of multi-classifier systems and, as a consequence, to improve performance of such systems. As a result, the NeurAge system was proposed. This system is composed by several neural agents which communicate and negotiate a common result for the testing patterns. In the NeurAge system, a negotiation method is very important to the overall performance of the system since the agents need to reach and agreement about a problem when there is a conflict among the agents. This thesis presents an extensive analysis of the NeurAge System where it is used all kind of classifiers. This systems is now named ClassAge System. It is aimed to analyze the reaction of this system to some modifications in its topology and configuration

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Software Repository Mining (MSR) is a research area that analyses software repositories in order to derive relevant information for the research and practice of software engineering. The main goal of repository mining is to extract static information from repositories (e.g. code repository or change requisition system) into valuable information providing a way to support the decision making of software projects. On the other hand, another research area called Process Mining (PM) aims to find the characteristics of the underlying process of business organizations, supporting the process improvement and documentation. Recent works have been doing several analyses through MSR and PM techniques: (i) to investigate the evolution of software projects; (ii) to understand the real underlying process of a project; and (iii) create defect prediction models. However, few research works have been focusing on analyzing the contributions of software developers by means of MSR and PM techniques. In this context, this dissertation proposes the development of two empirical studies of assessment of the contribution of software developers to an open-source and a commercial project using those techniques. The contributions of developers are assessed through three different perspectives: (i) buggy commits; (ii) the size of commits; and (iii) the most important bugs. For the opensource project 12.827 commits and 8.410 bugs have been analyzed while 4.663 commits and 1.898 bugs have been analyzed for the commercial project. Our results indicate that, for the open source project, the developers classified as core developers have contributed with more buggy commits (although they have contributed with the majority of commits), more code to the project (commit size) and more important bugs solved while the results could not indicate differences with statistical significance between developer groups for the commercial project

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

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This research has as objective of study the evolution of the accountancy princliple terminology which is present in the accounting conceptual framework. The scene of this research will have as target the North American School of Accounting. The choice of the searched terminology is its relevance in the study of the Accounting Theory. To understand the evolution of the accountancy thought, will be boarded: the influence of the Feudal System and the Mercantilism in the European economic conception; the importance of the Industrial Revolution in the beginning of the accounting standards and the influence of England in the formation of the North American School of Accounting. With relation to U.S.A., the development of the economic-financial scene of the American society will be evaluated, focusing the contribution in the search of the construction of an applied theoretical framework to the Accounting. The economic-financial development of U.S.A. provided the sprouting of new users with specific necessities. The necessity of the user for useful information for the decision taking, unchained the process of research directed toward the establishment of an applied Accountancy terminology. In this process, the paper exerted for the responsible accountancy organisms for the accounting standards will be boarded, as well as the professionals associations which had invested in researches, aiming at to elaborate a body of accountancy principles and to adjust the accountancy procedures to the necessities of the users. To reach the research objective, a bibliographical revision in specialized literature will be effected, adopting the historical method, in the period that understands the development of the North American School of Accounting. As result of the research, it can conclude that the evolution process of the terminology which is studied presents a structural logical problem, because the impossibility of the construction of a theoretical framework, having as bases the principle terminology. The impossibility occurred in function of the reach attributed to the term, which made a difficult in its application in the elaboration of the accountancy procedures

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This study has the purpose of discussion and reflection of how the accounting information in the managemental area are used by the sugar & alcohol industry, located at State of Alagoas, aiming to identify if them please their managers expectations in the process of taking decision. Ahead of an existent universe of 27 (twenty seven) companies registered at the Sugar & Alcohol Labor Union of State of Alagoas SINDAÇUCAR files, were collected 14 (fourteen) questionnaires to support the current research classified as explorative and descriptive. The junction of these two kinds of research resulted in a quantitative and perceptive analysis of the use of the accounting information in the process of taking decision of the Sugar & Alcohol industry in Alagoas. The results demonstrated in this research indicate that, although the managers consider relevant the information at cost area, they do not use them in the process of taking decision. The reports emitted by accountancy are only financial, such as balance sheets, income statement, financial flow, among others factors. The importance order that the managers give to the accounting information and the kind of information that they use in the process of taking decision do not indicates that they use the accountancy in administration level. The statistics analysis of the files collected allows infer that the information provided by accountancy are considered important, however are few used at the manager process