Orientador: Jansle Vieira Rocha / Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Agrícola / Made available in DSpace on 2018-08-21T11:13:18Z (GMT). No. of bitstreams: 1 Soare_PedroHenriqueQuariguasy_M.pdf: 1800080 bytes, checksum: 366d3c0b4ab5c21ad87e119c7754ed91 (MD5) Previous issue date: 2012 / Resumo: Atualmente o Sensoriamento Remoto tem avançado a sua utilização em diversos segmentos da sociedade acadêmica e empresarial, assim como, das iniciativas públicas e privadas, haja vista a quantidades de satélites já em órbita e os lançamentos contínuos dos mais diversos tipos de sensores remotos. Diversas nações têm como objetivo a independência geoespacial, seja por questões de segurança nacional ou estratégias de política de desenvolvimento econômico, razão pelo qual os vultosos valores investidos em inovação e tecnologias geoespaciais. Neste sentido, podemos citar inúmeras aplicações do sensoriamento remoto, como subsídio ao planejamento de políticas públicas de uso e ocupação terrestre, fiscalização governamental de fronteiras, planejamento ambiental, mapeamentos e análises de cobertura, análise da dinâmica espaço-temporal de uso e ocupação de solos, de florestas, de agricultura, dentre os mais diversos. Em relação às questões das aplicações do sensoriamento remoto na agricultura, vale ressaltar a importância do segmento sucroenergético nacional como fonte de diversas riquezas, como a produção de açúcar, etanol, bioeletricidade e derivados, e ainda contribuindo com uma matriz energética renovável. Desta forma, o presente trabalho tem a finalidade de hierarquizar as aplicações do Sensoriamento Remoto no setor sucroenergético, assim como, avaliar as restrições de utilização das geotecnologias no segmento. Para efeito didático da pesquisa, assim como, para o diagnóstico mercadológico foi classificado nesta pesquisa três grandes e principais grupos de a utilização das geotecnologias, sendo, aplicações em na gestão agronômica dos fatores de produção, aplicações nas ambientais e, no suporte à gestão dos negócios. No grupo de análise de restrições foram elencados três principais fatores atuais de restrição de utilização: conhecimento de sensoriamento remoto, custos das tecnologias de sensoriamento remoto e a disponibilidade de recursos humanos para o setor sucroenergético. O presente trabalho foi realizado com uma pesquisa de opinião com especialistas junto aos principais "players" do segmento sucroenergético, nas áreas de produção das regiões Centro-sul. A representatividade da pesquisa considerando a safra 2012/2013, foi de aproximadamente 35% da produção total, que tem como previsão 448 milhões de toneladas (Conab, 2012). Como ferramenta de análise e suporte às informações provenientes das pesquisas de opinião, foi utilizado o método multicritério AHP - Analytic Hierarchy Process. Os resultados apresentados nesta pesquisa hierarquizam como principais aplicações do sensoriamento remoto: Aplicações Agrícolas, Meio Ambiente e Gestão de Negócios; e como principais restrições: Conhecimento da Tecnologia do sensoriamento remoto, Disponibilidade de Recursos Humanos e Custos das Tecnologias do Sensoriamento Remoto. Com estes resultados, foi possível elencar e adequar os esforços acadêmicos e comerciais para subsidiar o aumento de utilização das geotecnologias, assim como, diagnosticar suas restrições, para aperfeiçoar e estimular alternativas de uso e aplicação / Abstract: Currently, remote sensing has advanced its use in various segments of the academic society and business, as well as, the public and private initiatives, given the amounts of satellites already in orbit and the ongoing launches of several types of remote sensors. Several nations have the goal of geospatial independence, either by national security issues or strategies of economic development policy, which is why the huge amounts invested in innovation and geospatial technologies. In this sense, we can cite numerous applications of remote sensing, as planning policies for land use and occupation, government oversight of borders, environmental planning, mapping and analysis of land use, analysis of the spatial-temporal dynamics of soil use and land use, forests, agriculture, among many others. Regarding the questions of applications of remote sensing in agriculture, is worth emphasizing the importance of national energy sector sugar as a source of various wealth, as the production of sugar, ethanol, bioelectricity and sub products, and also contributing to a renewable energy matrix. Thus, this study aims to identify and prioritize the main applications of Remote Sensing in the sugar energy sector, as well as, assess the constraints to increase use of geotechnologies. For didactic purposes of this research, as well as, marketing for the diagnosis was classified in this study three main groups of geotechnologies uses, applications in the management of agronomic factors of production, environmental applications, and support of business management. In the group analysis of constraints were listed three major factors restricting current use, such as remote sensing knowledge and costs of remote sensing technologies, as well as, the availability of Human Resources for the energy sector sugar. This work was carried out with a survey with experts with the major players in the segment of sugar energy in the Mid-South production areas. The representativeness of the survey considering 2012/2013 was approximately 35% of total production, which is forecasting 448 million tons (Conab, the first survey - April 2012). As a tool of analysis and supporting information from polls was used multicriteria method AHP - Analytic Hierarchy Process. The results presented in this research prioritize the main applications of remote sensing as Applications for Agriculture, Environment and Business Management, and as major constraints are: Knowledge of Remote Sensing Technology, Human Resource Availability and Costs of Remote Sensing Technologies. With these results, it was possible to list and tailor academic and commercial efforts in order to support geotechnologies use, as well as, diagnosing its constraints, to improve and encourage alternatives for use and application / Mestrado / Planejamento e Desenvolvimento Rural Sustentável / Mestre em Engenharia Agrícola

The target of this thesis is to compare suitable application methods at intercompany comparison. Used methods are divided into three sections. In the first part, the multiple criteria decision methods are described. Within this part, common used methods (method of simple order, method of standard variables, method of distance from virtual subject) and more advanced methods taught in the class of Theory of decision (WSA, Topsis, ELECTRE III, Mappac and other) are described. As part of these methods the determination preferences are defined. Further Data envelope analyses are introduced. The last method mentioned in the theoretical part is index IN05 method. All of the above described methods are applied to the beer industry. In conclusion the comparison of all used methods is presented.

The thesis describes a way of searching a better financial opportunities. The first part is about the multiple criteria decision making. I focus on application methods of multicriterial evaluation of alternatives on different possibilities of solving retirement. The target is to compare different possibilities and then suggest a solution. The second part is about the linear programming. The main objective of the diploma thesis is to suggest a create mathematical model, which I will use in my profession. This mathematical model will display results, which tell us how we can solve the question of money and finance.

In this thesis I consider possibility to spend my vacation in one of the three countries: Spain, France, Italy. In each country I chose ten cities, which I would like to visit. I will use Travel Salesman Problem to decide the best route inside each country according to three criteria: Cost, Minutes and Transport. There is also a possibility to choose the type of transport: train or combination of train and airplane. Also I will use Weighted goal programming and Chebyshev goal programming to optimize all criteria simultaneously. In the end I will use multiple -- criteria decision analysis to compare results. According to three methods (ORESTE, ELECTRE III, TOPSIS) I will choose one of the states for my vacation. I will make all calculation in program MPL and in Excel using solver SANNA.

The aim of the thesis is to select a suitable heat source for a residential building using simulation modeling and multiple-criteria decision analysis. The market is offering plenty of possibilities, thus the part of this thesis is dedicated to description of main characteristics and pros and cons of most common heat sources (e.g. coal, biomass, natural gas, electricity, heat pumps). There are many ways to decide which source is an optimal solution for a house. In this thesis, there are presented four possible approaches: decision based on the analysis of the total costs of the source and the methods WSA, TOPSIS and ELECTRE III. In the end, the results of these methods are summarized together with the qualitative factors which are also considered in the decision making process.

The aim of this work is analysis of Honda's position at the Czech market of motorcycles based on preferences of men and women. The motorcycles are divided into different groups by engine volume in cubic centimetres and by categories in which motorcycles are included. In this analysis are used methods Electre III, Oreste, Topsis, WSA and calculations are performed by program packages SANNA. At the conclusion, Honda's position in all categories is summarized.

Photovoltaic (PV) solar electricity generation has the potential to reduce the demand for more traditional fossil and nuclear power generation. Community PV solar installations allow energy users to share the electricity generated by these plants. Optimal siting of community solar installations will allow for maximum electricity generation while avoiding environmental conflicts, as well as, minimizing construction costs. This study identifies opportunities for community solar plants in Maricopa and Pinal Counties, Arizona, of ¼-acre in size. Input parameters fall into economic, physical, and environmental categories. Each of the input parameters were classified from 1 (not suitable) to 9 (highly suitable). Next, the classified rasters in each category were weighed according to importance, and Esri’s Weighted Sum tool was used to generate a combined raster for the category. The three resulting environmental, economic, and physical characteristic rasters were weighed again, and the Weighted Sum tool was used to generate a raster of community solar suitability scores. Next, a mask of locations inappropriate for community-scale solar development was created, including lakes, rivers, streams, and residential rooftops, which are too small to accommodate ¼-acre community solar installations. The masked areas were removed from the suitability raster, and the suitability raster was reclassified using standard deviations to generate a preference map with values ranging from 1 (low preference) to 3 (high preference). The model output reveals 68 percent of the study area is of medium or high preference for community solar installations. Maricopa and Pinal counties provide many opportunities for community solar installations.

Job seekers have often made job choices based upon the degree to which they fit the tasks requirements of the job. This concept is referred to as person-job (P-J) fit. In addition, research has suggested that job seekers self-select organizations to work for based upon the perceived fit between themselves and the organization. This concept is referred to as person-organization (P-O) fit.

The planning and implementation of effective water resources management strategies need an assessment of multiple (physical, environmental, and socio-economic) issues, and often requires new research in which knowledge of diverse disciplines are combined in a unified methodological and operational framework. Such integrative research to link different knowledge domains faces several practical challenges. The complexities are further compounded by multiple actors frequently with conflicting interests and multiple uncertainties about the consequences of potential management decisions. This thesis aims to overcome some of these challenges, and to demonstrate how new modeling approaches can provide successful integrative water resources research. It focuses on the development of new integrated modeling approaches which allow integration of not only physical processes but also socio-economic and environmental issues and uncertainties inherent in water resources systems. To achieve this goal, two new approaches are developed in this thesis. At first, a Bayesian network (BN)-based decision support tool is developed to conceptualize hydrological and socio-economic interaction for supporting management decisions of coupled groundwater-agricultural systems. The method demonstrates the value of combining different commonly used integrated modeling approaches. Coupled component models are applied to simulate the nonlinearity and feedbacks of strongly interacting groundwater-agricultural hydrosystems. Afterwards, a BN is used to integrate the coupled component model results with empirical knowledge and stakeholder inputs. In the second part of this thesis, a fuzzy-stochastic multiple criteria decision analysis tool is developed to systematically quantify both probabilistic and fuzzy uncertainties associated with complex hydrosystems management. It integrates physical process-based models, fuzzy logic, expert involvement and stochastic simulation within a general framework. Subsequently, the proposed new approaches are applied to a water-scarce coastal arid region water management problem in northern Oman, where saltwater intrusion into a coastal aquifer due to excessive groundwater extraction for irrigated agriculture has affected the aquifer sustainability, endangering associated socio-economic conditions as well as traditional social structures. The results show the effectiveness of the proposed methods. The first method can aid in the impact assessment of alternative management interventions on sustainability of aquifer systems while accounting for economic (agriculture) and societal interests (employment in agricultural sector) in the study area. Results from the second method have provided key decision alternatives which can serve as a platform for negotiation and further exploration. In addition, this approach suits to systematically quantify both probabilistic and fuzzy uncertainties associated with the decision problem. The new approaches can be applied to address the complexities and uncertainties inherent in water resource systems to support management decisions, while serving as a platform for stakeholder participation.

The objective of this research is to establish consistency thresholds linked to alpha (α) levels for HDM’s (Hierarchical Decision Model) judgment quantification method. Measuring consistency in order to control it is a crucial and inseparable part of any AHP/HDM experiment. The researchers on the subject recommend establishing thresholds that are statistically based on hypothesis testing, and are linked to the number of decision variables and (α) level. Such thresholds provide the means with which to evaluate the soundness and validity of an AHP/HDM decision. The linkage of thresholds to (α) levels allows the decision makers to set an appropriate inconsistency tolerance compatible with the situation at hand. The measurements of judgments are unreliable in the absence of an inconsistency measure that includes acceptable limits. All of this is essential to the credibility of the entire decision making process and hence is extremely useful for practitioners and researchers alike. This research includes distribution fitting for the inconsistencies. It is a valuable and interesting part of the research results and adds usefulness, practicality and insight. The superb fits obtained give confidence that all the statistical inferences based on the fitted distributions accurately reflect the HDM’s inconsistency measure.