<p>There are a number of decision making problems in which Geographical Information System (GIS) has employed to organize and facilitate the procedure of analyzing the problem. These GIS-based decision problems which typically include a number of different criteria and alternatives are generally analyzed by Multicriteria Decision Analysis (MCDA).Different locations within a geographical area represent the alternatives by which the overall goal of the project is achieved. The quality of achieving the goal is evaluated by a set of criteria which should be considered in the work. Analytic Hierarchy Process (AHP) which is a powerful method of MCDA generally can organize spatial problems and decides which alternatives are most suitable for the defined problems. However due to some intrinsic uncertainty in the method, a number of authors suggest fuzzifying the method while others are against fuzzification of the AHP.</p><p>The debate over fuzzifying AHP is going on and attempt for finding that was mostly in theory, and little, if any; practical comparison between the AHP and fuzzified AHP has done. This work presents a practical comparison of AHP and fuzzy AHP in a GIS-based problem, case study, for locating a dam in Costa Rica, considering different criteria. In order to perform the AHP and fuzzy AHP in the GIS-based problem and calculating weights of the criteria by the methods, some computer codes have written and developed in MATLAB.</p><p>The comparisons between the AHP and fuzzy AHP methods are done on result weights and on the result final maps. The comparison between the weights is repeated on different levels of uncertainty in fuzzy AHP then all the results are compared with the result of AHP method. Also this study for checking the effect of fuzzification on results is suggested Chi-Square test as a suitable tool.</p><p>Comparisons between the resulting weights of the AHP and fuzzy AHP methods show some differences between the methods. Furthermore, the Chi-Square test shows that the higher level of uncertainty in the fuzzy AHP, the greater the difference in results between the AHP and fuzzy AHP methods.</p>

There are a number of decision making problems in which Geographical Information System (GIS) has employed to organize and facilitate the procedure of analyzing the problem. These GIS-based decision problems which typically include a number of different criteria and alternatives are generally analyzed by Multicriteria Decision Analysis (MCDA).Different locations within a geographical area represent the alternatives by which the overall goal of the project is achieved. The quality of achieving the goal is evaluated by a set of criteria which should be considered in the work. Analytic Hierarchy Process (AHP) which is a powerful method of MCDA generally can organize spatial problems and decides which alternatives are most suitable for the defined problems. However due to some intrinsic uncertainty in the method, a number of authors suggest fuzzifying the method while others are against fuzzification of the AHP. The debate over fuzzifying AHP is going on and attempt for finding that was mostly in theory, and little, if any; practical comparison between the AHP and fuzzified AHP has done. This work presents a practical comparison of AHP and fuzzy AHP in a GIS-based problem, case study, for locating a dam in Costa Rica, considering different criteria. In order to perform the AHP and fuzzy AHP in the GIS-based problem and calculating weights of the criteria by the methods, some computer codes have written and developed in MATLAB. The comparisons between the AHP and fuzzy AHP methods are done on result weights and on the result final maps. The comparison between the weights is repeated on different levels of uncertainty in fuzzy AHP then all the results are compared with the result of AHP method. Also this study for checking the effect of fuzzification on results is suggested Chi-Square test as a suitable tool. Comparisons between the resulting weights of the AHP and fuzzy AHP methods show some differences between the methods. Furthermore, the Chi-Square test shows that the higher level of uncertainty in the fuzzy AHP, the greater the difference in results between the AHP and fuzzy AHP methods.

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.

Le Développement Durable (DD) est « un développement qui répond aux besoins du présent sans compromettre la capacité des générations futures à répondre aux leurs. » Ses trois piliers fondateurs sont l’Economie, l’Environnement et la Société qu’il faut appréhender conjointement. Nous prenons le point de vue de la performance industrielle pour caractériser les besoins de l’entreprise dans une démarche DD. La performance industrielle, à travers son histoire, doit prendre en compte de plus en plus de critères jusqu'aux actuels piliers du DD. Nous proposons de voir le DD comme la démarche d'amélioration mise en place par l'entreprise. Dans ce sens nous proposons une aide au décideur humain qui permet de répondre aux exigences du DD et en particulier sa nature holistique et cyclique.Les entreprises déploient des approches d’amélioration continue à l’aide de standards et de méthodes comme le cycle PDCA. L’idée est alors d’enrichir cette pratique par un processus MCDA en aidant le décideur à formuler ses préférences et leur appliquer un traitement d’information adapté afin de fournir une aide à la décision qui serve la démarche d’amélioration. Pour intégrer l’imprécision dans la décision à prendre, nous proposons une méthodologie qui permet de caractériser la robustesse du résultat d’une méthode MCDA en fonction de l’imprécision des valeurs d’un critère. Pour prendre en compte l'aspect « réalisation opérationnelle » d'une action, en plus de son intérêt pour la performance de l'entreprise, nous avons développé un modèle de « faisabilité » associé aux actions en nous fondant sur la méthode ACUTA. L'idée est de proposer au décideur une information complémentaire à l'information d'utilité afin d'offrir une perspective autorisant un compromis Utilité/Faisabilité sur la décision à prendre. Nous déclinons notre proposition sur un cas pratique industriel mené dans le cadre d’une collaboration avec l’entreprise adixen Vacuum Products (aVP) d’Annecy. Ce partenariat a permis le déploiement de notre proposition pour un problème de décision portant sur les besoins d'instrumentation pour construire un système de management de l'énergie, conformément à la norme ISO 50001. / Sustainable Development (SD) is "development that meets the needs of the present without compromising the ability of future generations to meet their own needs." Its three founding pillars are Economy, Environment and Society which are to be handled together. We take the perspective of industrial performance in order to characterize the needs of a company involved in SD.Industrial performance, throughout its history, has to consider more and more numerous criteria up to the present SD pillars. We propose to look on SD as the improvement approach established by the company. According to this, we propose an aid for the human decision maker in order to fulfill the requirements of SD and notably its holistic and cyclic nature.Companies develop continuous approaches to improvement based on standards and methods like the PDCA cycle. Thus, the idea is to enrich this practice with a MCDA process for aiding the decision maker to establish his/her preference and to apply a suitable information processing to it that benefits the improvement approach. In order to integrate imprecision in the decision to be taken, we propose a methodology for characterizing the robustness of the product of a MCDA method in relation to the imprecision of a criterion value. In order to consider the aspect "operational implemantation" of an action, besides its benefit for the performance of the company, we developped a "Feasability" model related to the actions based on the ACUTA method. The idea is to offer the decision maker information complementary with utility information in order to permit a compromise Utility/Feasibility concerning the decision to be taken. Our proposition is applied to an industrial real case conducted in the framework of a partnership with the company adixen Vacuum Products (aVP) in Annecy. This partnership has led to the deployment of our proposition for a decision problem concerning the need in instrumentation required for the building of an energy management system, according to the ISO 50001 standard.

This paper proposes an analytic framework for the balancing or weighing test, as an instance of a Multiple-Criteria Decision Analysis (MCDA), like the ones used in disciplines like management or operations research. The change in perspective allows for an enrichment of our comprehension concerning the test, and permits an increment in its pretentions of rationality in the process of solving conflicts, in which is necessary to arrive to an optimal solution. In the first section we propose a conceptual framework concerning the development of MCDA models. Then we show three models of balancing tests proposed in the specialized literature, one of which is the model proposed by Robert Alexy. Finally, departing from a comparison between constitutional balancing and the reasonableness test, used by Indecopi, we present a complex model of balancing, which counts with two perspectives: one synchronic, and the other diachronic. / El presente artículo propone un análisis del test de ponderación como una caso particular de los exámenes o test de decisión multicriterio (MCDA) desarrollados en otras disciplinas como la gestión y la investigación de operaciones. Este cambio de perspectiva permite enriquecer nuestra comprensión de dicho test, e incrementar sus pretensiones de racionalidad para resolver conflictos en los que se debe arribar a una solución óptima. En la primera parte se plantea un marco teórico sobre el desarrollo de los análisis de toma de decisiones multicriterio. A continuación se analizan las interrelaciones entre tres modelos ponderativos que se han propuesto en la literatura especializada, entre los que se encuentra el de Robert Alexy. Finalmente, a partir de una comparación entre la ponderación constitucional y el examen de razonabilidad de una medida, empleado por Indecopi, se presenta un modelo complejo de toma de decisiones en la ponderación. Dicho modelo cuenta con una perspectiva diacrónica y sincrónica de análisis.

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.