Η επιλογή και η αξιολόγηση προσωπικού είναι ένα σημαντικό πρόβλημα, το οποίο μπορεί να επηρεάσει την αποτελεσματικότητα και την αποδοτικότητα μιας επιχείρησης. Διάφορες ποσοτικές μέθοδοι έχουν προταθεί ως βοήθεια για τη λήψη τέτοιων αποφάσεων. Η παρούσα εργασία παρουσιάζει τα πιο σημαντικά και ευρέως γνωστά μοντέλα, που χρησιμοποιούνται στα πεδία επιλογής και αξιολόγησης προσωπικού. Επικεντρώνεται επίσης σε μια ανάλυση του MACBETH (Measuring Attractiveness by a Categorical Based Evaluation Technique). Το MACBETH είναι μια πολυκριτηριακή προσέγγιση λήψης αποφάσεων, η οποία απαιτεί μόνο ποιοτικές κρίσεις σε σχέση με τις αξίες και βοηθά τους αποφασίζοντες να ποσοτικοποιήσουν τις διαφορές ελκυστικότητας των επιλογών. Τέλος εφαρμόζουμε αυτή την τεχνική χρησιμοποιώντας το λογισμικό M-MACBETH, χρησιμοποιώντας πραγματικά δεδομένα μεγάλης ελληνικής τράπεζας. / The employee evaluation and selection system is an important problem that can significantly affect the future competiveness and the performance of an organization. Various quantitative methods have been proposed as an aid to such decisions. This work presents the most important and common models, that are used in the employee evaluation and selection area. It also focuses on a comprehensive overview of MACBETH (Measuring Attractiveness by a Categorical Based Evaluation Technique). MACBETH is a multicriteria decision analysis approach, which requires only qualitative judgements about differences of value to help a decision maker quantify the relative attractiveness of options. Finally, an application of this technique takes place using M-MACBETH software, based on real data from a big Greek bank.

The purpose of this study is to prepare a geotechnical microzonation map regarding the suitability of the residential areas in EskiSehir downtown area. In order to obtain the microzonation map, Geographical Information Systems (GIS) based Multicriteria Decision Analysis (MCDA) is used. For this analysis, the slope, flood susceptibility, soil, depth to groundwater table, swelling potential and liquefaction potential layers are prepared. The weight values to the layers and rank values to the classes of each layer are assigned by applying Simple Additive Weighting (SAW) and Analytical Hierarchical Process (AHP) methods. Two geotechnical microzonation maps are obtained as outputs of these methods. The study area is categorized into three different zones regarding the foundation suitability of residential areas as: (1) Areas suitable for settlement / (2) Provisional settlement areas / (3) Areas requiring detailed geotechnical investigations. The maps prepared using SAW and AHP methods are found to be consistent with each other. The geotechnical microzonation map prepared using AHP method is recommended as the final map of the study area.

Σήμερα, ίσως περισσότερο από κάθε άλλη περίοδο στο παρελθόν, η ποιότητα έχει αναδειχθεί ως η ουσιώδης προϋπόθεση επιβίωσης των προϊόντων και των υπηρεσιών. Ο γκουρού της ποιότητας E.W. Deming το 1980 έγραφε: «Στο τέλος του αιώνα θα υπάρχουν δύο είδη επιχειρήσεων. Αυτές που εφαρμόζουν Συστήματα Ολικής Ποιότητας και εκείνες που δεν θα υπάρχουν πλέον στον επιχειρηματικό χώρο». Ο αφορισμός αυτός ίσως ακούγεται υπερβολικός. Το γεγονός όμως ότι ζούμε σε ένα έντονα ανταγωνιστικό και παγκοσμιοποιημένο περιβάλλον, ιδιαίτερα σε μια τέτοια περίοδο οικονομικής κρίσης, κάνει κατανοητό πως το κλειδί για την επιβίωση και την αποτελεσματικότητα των επιχειρήσεων είναι η υψηλή ποιότητα των προϊόντων και των υπηρεσιών που παρέχουν και η σύνδεση τους με την ικανοποίηση του πελάτη. Σκοπός της παρούσας διπλωματικής εργασίας είναι, αφενός, η μελέτη εκείνων των μοντέλων χωροθέτησης που αφορούν την κάλυψη της ζήτησης των προϊόντων / υπηρεσιών και αφετέρου η ενσωμάτωση, σε αυτά, της ποιότητας ως χαρακτηριστικό των εγκαταστάσεων που πρόκειται να χωροθετηθούν. / The purpose of this thesis is to describe the facility location models regarding to the demand covering of products and services and to integrate quality as a characteristic of the facilities.

Segregationen i Sverige har ökat de senaste åren vilket skapat ett allt större samhällsproblem. Det är därför viktigt att kommunerna i ett tidigt stadie aktivt börjar arbeta mot segregation och för social hållbarhet. Med denna studie och dess metodutveckling vill vi främja arbetet för mindre svenska tätorter genom att ta fram och testa en metod som kommuner kan använda vid en kartläggning av segregation. För att kunna hantera segregationens mångsidiga problemställning har flera metodsteg använts. En litteraturgenomgång resulterade i sex variabler som alla har betydande påverkan på segregationen. Dessa var fastighetsbestånd, förvärvsfrekvens, inrikes- och utrikesfödda, trångboddhet, utbildning och ålder. En enkätundersökning genomfördes sedan med 14 samhällsplanerare för att rangordna de variabler som litteraturgenomgången påvisade. Rangordningen användes sedan i metoden rank sum weights, som sedermera ledde fram till en multikriterieanalys (MKA) baserad på en linjär additiv metod. Målet med studien är att kunna presentera en kartläggning för segregationen i Bollnäs tätort utifrån den metod vi har utvecklat. Resultatet från studien visar att Bollnäs tätort har fyra områden som klassas som “mest segregerade” och tre områden som klassas som “minst segregerade”. Dessa resultat har testats med tre validitets- och reliabilitetsmetoder vilka var Index of Dissimilarity, intervju, samt känslighetsanalys. Resultatet från de tre testerna påvisar tydliga tendenser och snarlika resultat från vår metod, vilket indikerar att vår metod är robust och trovärdig. Behovet av ordentliga kartläggningar likt vår studie framkommer bland annat i intervjun där en planerare från Bollnäs kommun fick peka ut de fem områden personen ansåg vara mest segregerade. För dessa fem områden pekade planeraren ut ett område som enligt vår studie var minst segregerat, vilket påvisar svårigheten kring segregationsfrågan. Vår förhoppning med denna studie är att skapa en metod som främjar kommuners arbete med social hållbarhet. / Segregation in Sweden has been rising in recent years, which has lead to an increase in social problems. It is therefore important that municipalities, in an early stage, actively begin to work against segregation and towards social sustainability. With this study and its methodology we want to encourage smaller Swedish cities by developing and testing a method that municipalities can use in mapping of segregation. To handle segregation's complex problems, several of method steps have been applied. A literature review resulted in six variables, all of which have a significant impact on segregation. The variables were: housing tenure, employment rates, domestic/foreign-born, overcrowding, education and age. A survey was then conducted with 14 experts in the urban planning sector. The planners were asked to rank the variables that the literature review highlighted. The rankings were then used to create rank sum weights, which later led to a multicriteria decision analysis (MCDA) based on a linear additive method. The aim of the study is to present a mapping of the segregation in Bollnäs urban area based on the method we have developed. The result of the study shows that out of 15 areas in Bollnäs urban area, four were classified as "most segregated" and three areas classified as "least segregated". These results have been tested using three validity and reliability methods: The Index of Dissimilarity, interview and sensitivity analysis. The results of the three tests demonstrate clear trends and similar results compared with our method, which indicates that our method is robust and trustworthy. The necessity for proper mapping of segregation is demonstrated by the interview where a planner from Bollnäs municipality was given the chance to pinpoint five areas the person considered to be most segregated. For these five areas, the planner pointed out one area that according to our study was least segregated, which proves the difficulty of identifying segregation. Our hope with this study is to create a method that support municipalities work with social sustainability.

Spatial analysis for optimization of student assignments in cartography Abstract The aim of the diploma thesis is to perform a multi-criteria analysis of large spatial data, which will result in the identification of a predetermined number of the variants of the territory, which are optimal for creating the student assignments. The main part of the thesis is to design and to calculate the spatial evaluation criteria. In the theoretical part, a theory of multi-criteria analysis and examples of its use in general in geoinformatics and assessment of landscape potential are presented. The practical part is devoted to the design of own methodology for assessment of the territory from the point of view of suitability for processing of student tasks, including its application over the territory of the Czechia in order to obtain information about the territory. Multi-criteria analysis was divided into two steps: pre-selection of the territory based on Boolean evaluation and subsequent sorting of the variants from the most suitable to the least appropriate using the TOPSIS method. The scales of the individual criteria were determined by the scoring method. The main result of the thesis is a new set of the variants of the territory, which are comparable with their processing demands. Keywords Spatial analysis,...

Submitted by Lucienne Costa (lucienneferreira@ufcg.edu.br) on 2018-03-23T17:19:29Z No. of bitstreams: 1 RICARDO DA CUNHA CORREIA LIMA - TESE (PPGRN) 2017.pdf: 7969849 bytes, checksum: fd8ce7fe6de0c51c5a626249abf8395f (MD5) / Made available in DSpace on 2018-03-23T17:19:29Z (GMT). No. of bitstreams: 1 RICARDO DA CUNHA CORREIA LIMA - TESE (PPGRN) 2017.pdf: 7969849 bytes, checksum: fd8ce7fe6de0c51c5a626249abf8395f (MD5) Previous issue date: 2017-04-26 / A desertificação é um fenômeno de escala global caracterizado pela degradação das terras nas zonas áridas, semiáridas e subúmidas secas para o qual concorrem fatores de ordem ambiental, social, econômica e institucional. Definir um conjunto de ações para seu enfrentamento requer o conhecimento das complexas relações estabelecidas entre a sociedade e o meio ambiente de modo a identificar e monitorar as causas e consequências do processo. A modelagem dessa realidade permanece um desafio para pesquisadores em todo o mundo, especialmente no Brasil, em virtude da grande quantidade de aspectos a serem considerados para os quais nem sempre há informações confiáveis e disponíveis. Procurando reduzir essa lacuna, o presente estudo estruturou um sistema de avaliação e comparação espacial da desertificação para os 32 municípios das microrregiões geográficas do Seridó paraibano e potiguar a partir de um conjunto de 27 indicadores recomendados na literatura relacionada, organizados segundo o modelo conceitual DPSIR - força motriz, pressão, estado, impacto e resposta. Os indicadores, discretos ou continuamente distribuídos, foram calculados, normalizados, ajustados à relação direta ou inversa com a desertificação, ponderados por especialistas de diferentes áreas do conhecimento e organizados em planos de informação do tipo raster. Técnicas de análise de decisão multicritério incorporadas a um sistema de informações geográficas foram utilizadas para desenvolver índices multicriteriais de desertificação, para cada categoria DPSIR, como instrumentos de avaliação das causas estruturais, causas diretas, susceptibilidade, consequências e respostas da sociedade para o problema. Os resultados apontaram que causas estruturais do processo, entre elas a concentração de terra, desigualdade social e cultura do consumo, mantêm 49,7% da área estudada em níveis de severidade moderado, forte ou muito forte de desertificação. Já as causas diretas, representadas pelo desmatamento e manejo inadequado da terra, afetam 19,7% da área com a mesma gravidade. Quanto à susceptibilidade ambiental, econômica e social, 83% da área está sujeita a iniciar ou agravar processos de desertificação em níveis de severidade moderado, forte e muito forte. Os impactos do processo, observados pela migração do campo para a cidade e pelo declínio da participação da agropecuária no PIB municipal, ocorrem com igual gravidade em 73,5% da área. Por fim, apenas 19,9% da área está relativamente preparada para enfrentar o problema através da organização do poder público e da sociedade civil em virtude dos níveis baixo e muito baixo de desertificação registrados. Numa avaliação global, considerando simultaneamente os 27 descritores do problema, observou-se que 59,7% da região está submetida a níveis moderado, forte ou muito forte de desertificação. Diante dos resultados alcançados, o estudo em questão sugere a promoção de ações governamentais e da sociedade civil para ampliar o acesso da população rural, nas áreas mais afetadas, à terra, à programas de geração ou transferência de renda, à educação básica universalizada, à assistência técnica agroecológica, à programas de recomposição da vegetação nativa, à serviços de proteção social dos contingentes que migram para as cidades, entre outras iniciativas, visando o enfrentamento do processo de desertificação e mitigação de suas consequências. / Desertification is a global phenomenon characterized by the degradation of land in the arid, semi-arid and dry sub-humid areas for which environmental, social, economic and institutional factors compete. Define a set of actions to address it requires knowledge of the complex relationships established between society and the environment to identify and monitor the causes and consequences of the process. The modeling of this reality remains a challenge for researchers worldwide, especially in Brazil, due to the large number of aspects to be considered for which there is not always reliable and available information. To reduce this gap, this study structured a system of evaluation and spatial comparison of desertification for the 32 municipalities of Seridó geographical microregions in Paraíba and Rio Grande do Norte from a set of 27 indicators recommended in the related literature, organized according to the conceptual model DPSIR - forces, pressures, state, impacts, and responses. The indicators, either discrete or continuously distributed, were calculated, normalized, adjusted for the direct or inverse relationship with desertification, weighted by experts from different areas of knowledge and organized into raster type information plans. Multicriteria decision analysis techniques incorporated into a geographic information system were used to develop multicriteria desertification indexes for each DPSIR category as instruments for assessing the structural causes, direct causes, susceptibility, consequences and society’s responses to the problem. The results pointed out that the structural causes of the process, including land concentration, social inequality and consumption culture, hold 49.7% of the area in a moderate, strong or very strong level of desertification. Direct causes, represented by deforestation and inadequate land management, affect 19.7% of the area in the same way. Regarding environmental, economic and social susceptibility, 83% of the area is subject to initiate or aggravate desertification processes at moderate, strong and very strong levels. The impacts of the process, observed by migration from the countryside to the city and by the decline of agriculture and livestock’s contribution to local GDP, occur equally in 73.5% of the area. Finally, only 19.9% of the area is relatively prepared to tackle the problem through the organization of government and civil society. In an overall assessment, 59.7% of the region is subjected to moderate, strong or very strong levels of desertification, considering all the 27 descriptors of the problem. Most of the region, according to the study, demand actions of governments and society to expand rural population access to land, income generation or transfer programs, universal basic education, agroecological technical assistance, native vegetation recovery programs, social protection services for the contingents that migrate to the cities, among other initiatives, aiming to confront the desertification process and mitigate its consequences.

Desenvolver programas de conservação, a partir do conhecimento prévio do estado dos pavimentos, possibilita obter determinados níveis de qualidade em toda a rede viária. No entanto, num cenário de carência financeira, manter esses níveis de qualidade só é possível se as decisões forem tomadas considerando as seções mais prioritárias às atividades de manutenção e reabilitação (M&R) dos pavimentos. O objetivo geral deste trabalho é propor um modelo de priorização de vias, baseado na metodologia de análise multicritério agregada a um sistema de informação geográfica (SIG), considerando critérios objetivos e subjetivos no apoio à tomada de decisão. Fez parte deste trabalho uma pesquisa sobre a situação atual referente aos procedimentos de gerência da conservação de pavimentos utilizados em cidades médias brasileiras. Foi realizado um estudo de caso, na cidade de São Carlos - SP, utilizando um levantamento preliminar da condição do pavimento e de suas características físicas e geométricas, no que se refere às seções de vias urbanas, que são de responsabilidade da prefeitura. O modelo desenvolvido neste trabalho, que utiliza AHP (Analytic Hierarchy Process) e SIG, é adequado à realidade das cidades médias brasileiras, mas mantém a viabilidade de aplicação em cidades de outras dimensões, desde que as particularidades dessas cidades sejam consideradas. É destinado a auxiliar administradores de órgãos governamentais que têm a função de avaliar e planejar as intervenções de conservação em vias urbanas pavimentadas. / The development of conservation programs, starting from the previous knowledge of pavements condition, makes possible to maintain certain quality levels in the roadway system. However, in a lack of budget scenario, to achieve those quality levels the decisions have to be taken considering a pavement maintenance and rehabilitation (M&R) prioritization program. The general objective of this work is to propose urban roadways prioritization model based on multicriteria decision analysis aggregated to geographical information system (GIS), considering objective and subjective criteria in the decision support. A case study was performed at the city of São Carlos, state of São Paulo, Brazil, using a preliminary study of pavement condition and physical and geometric characteristics. It was also performed a research about the current situation regarding the procedures for pavement maintenance and rehabilitation management in brazilian medium-sized cities. The model developed in this work, that uses AHP (Analytic Hierarchy Process) and GIS is adapted to the reality of the brazilian medium-sized cities, but it maintains the application viability in cities of other dimensions, since the particularities of those cities are considered. It is dedicated to help administrators of government agency responsible for the evaluation of urban roads and pavement conservation planning.

No setor de energia elétrica, a área que se dedica ao estudo da inserção de novos parques geradores de energia no sistema é denominada planejamento da expansão da geração. Nesta área, as decisões de localização e instalação de novas usinas devem ser amplamente analisadas, a fim de se obter os diversos cenários proporcionados pelas alternativas geradas. Por uma série de fatores, o sistema de geração elétrico brasileiro, com predominância hidroelétrica, tende a ser gradualmente alterada pela inserção de usinas termoelétricas (UTEs). O problema de localização de UTEs envolve um grande número de variáveis através do qual deve ser possível analisar a importância e contribuição de cada uma. O objetivo geral deste trabalho é o desenvolvimento de um modelo de localização de usinas termoelétricas, aqui denominado SIGTE (Sistema de Informação Geográfica para Geração Termoelétrica), o qual integra as funcionalidades das ferramentas SIGs (Sistemas de Informação Geográfica) e dos métodos de decisão multicritério. A partir de uma visão global da área estudada, as componentes espaciais do problema (localização dos municípios, tipos de transporte, linhas de transmissão de diferentes tensões, áreas de preservação ambiental, etc.) podem ter uma representação mais próxima da realidade e critérios ambientais podem ser incluídos na análise. Além disso, o SIGTE permite a inserção de novas variáveis de decisão sem prejuízo da abordagem. O modelo desenvolvido foi aplicado para a realidade do Estado de São Paulo, mas deixando claro a viabilidade de uso do modelo para outro sistema ou região, com a devida atualização dos bancos de dados correspondentes. Este modelo é designado para auxiliar empreendedores que venham a ter interesse em construir uma usina ou órgãos governamentais que possuem a função de avaliar e deferir ou não a licença de instalação e operação de usinas. / In the electric power industry, there is an area devoted to study alternatives for the expansion of the energy generation system. The decisions regarding the location and installation of new plants ought to be thoroughly analyzed in that planning activity, in order to foresee the likely scenarios resulting from the combination of distinct alternatives. For a number of reasons, the predominantly hydroelectric generation system historically set in Brazil tends to be gradually altered by the introduction of thermoelectric power plants (TPPs). The site selection problem involves, in the case of TPPs, a large number of variables, which contribute to the analysis process in various ways and with different levels of importance. The general goal of this work is the development of a location model of thermoelectric plants, here named SIGTE (an acronym for Geographic Information System for Thermoelectric Generation), which integrates the functionalities of the GIS tools (Geographic Information Systems) and multicriteria decision methods. Starting from an overall view of the studied area, this combination of techniques ensures a more realistic representation of the spatial components of the problem (e.g., the location of the municipalities, the transportation alternatives, the different voltages of transmission lines, areas of environmental preservation, etc.) It thus allows a straightforward inclusion of environmental criteria in the analysis. In addition, the SIGTE framework is also flexible enough to incorporate new decisions variables. The model was applied in a case study carried out in the state of Sao Paulo, although it can be easily adapted for use in other systems or geographical areas given that the corresponding databases are available. SIGTE was envisaged to be a supporting tool to public and private stakeholders interested in building new power plants or to governmental agencies in charge of the regulation mechanisms required for the installation nd operation of plants.

Desenvolver programas de conservação, a partir do conhecimento prévio do estado dos pavimentos, possibilita obter determinados níveis de qualidade em toda a rede viária. No entanto, num cenário de carência financeira, manter esses níveis de qualidade só é possível se as decisões forem tomadas considerando as seções mais prioritárias às atividades de manutenção e reabilitação (M&R) dos pavimentos. O objetivo geral deste trabalho é propor um modelo de priorização de vias, baseado na metodologia de análise multicritério agregada a um sistema de informação geográfica (SIG), considerando critérios objetivos e subjetivos no apoio à tomada de decisão. Fez parte deste trabalho uma pesquisa sobre a situação atual referente aos procedimentos de gerência da conservação de pavimentos utilizados em cidades médias brasileiras. Foi realizado um estudo de caso, na cidade de São Carlos - SP, utilizando um levantamento preliminar da condição do pavimento e de suas características físicas e geométricas, no que se refere às seções de vias urbanas, que são de responsabilidade da prefeitura. O modelo desenvolvido neste trabalho, que utiliza AHP (Analytic Hierarchy Process) e SIG, é adequado à realidade das cidades médias brasileiras, mas mantém a viabilidade de aplicação em cidades de outras dimensões, desde que as particularidades dessas cidades sejam consideradas. É destinado a auxiliar administradores de órgãos governamentais que têm a função de avaliar e planejar as intervenções de conservação em vias urbanas pavimentadas. / The development of conservation programs, starting from the previous knowledge of pavements condition, makes possible to maintain certain quality levels in the roadway system. However, in a lack of budget scenario, to achieve those quality levels the decisions have to be taken considering a pavement maintenance and rehabilitation (M&R) prioritization program. The general objective of this work is to propose urban roadways prioritization model based on multicriteria decision analysis aggregated to geographical information system (GIS), considering objective and subjective criteria in the decision support. A case study was performed at the city of São Carlos, state of São Paulo, Brazil, using a preliminary study of pavement condition and physical and geometric characteristics. It was also performed a research about the current situation regarding the procedures for pavement maintenance and rehabilitation management in brazilian medium-sized cities. The model developed in this work, that uses AHP (Analytic Hierarchy Process) and GIS is adapted to the reality of the brazilian medium-sized cities, but it maintains the application viability in cities of other dimensions, since the particularities of those cities are considered. It is dedicated to help administrators of government agency responsible for the evaluation of urban roads and pavement conservation planning.

This thesis aims to predict the probable undiscovered geothermal systems through investigation of spatial relation between geothermal occurrences and its surrounding geological phenomenon in Western Anatolia. In this context, four different public data, which are epicenter map, lineament map, Bouger gravity anomaly and magnetic anomaly maps, are utilized. In order to extract the necessary information for each map layer the raw public data is converted to a synthetic data which are directly used in the analysis. Synthetic data employed during the investigation process include Gutenberg-Richter b-value map, distance to lineaments map and distance to major grabens present in the area. Thus, these three layers including directly used magnetic anomaly maps are combined by means of Boolean logic model and Weights of Evidence method (WofE), which are multicriteria decision methods, in a Geographical Information System (GIS) environment. Boolean logic model is based on the simple logic of Boolean operators, while the WofE model depends on the Bayesian probability. Both of the methods use binary maps for their analysis. Thus, the binary map classification is the key point of the analysis. In this study three different binary map classification techniques are applied and thus three output maps were obtained for each of the method. The all resultant maps are evaluated within and among the methods by means of success indices. The findings reveal that the WofE method is better predictor than the Boolean logic model and that the third binarization approach, which is named as optimization procedure in this study, is the best estimator of binary classes due to obtained success indices. Finally, three output maps of each method are combined and the favorable areas in terms of geothermal potential are produced. According to the final maps the potential sites appear to be Aydin, Denizli and Manisa, of which first two have been greatly explored and exploited since today and thus not surprisingly found as potential in the output maps, while Manisa when compared to first two is nearly virgin.