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Background Health literacy (HL) is low for 40–50 % of the population in developed nations, and is strongly linked to many undesirable health outcomes. Older adults are particularly at risk. The intervention research on health literacy in ageing populations project systematically created a large inventory of HL interventions targeting adults age 50+ , to support practical production of policy and practice guidelines for promoting health literacy in European populations. Methods We comprehensively surveyed international scientific literature, grey literature and other sources (published 2003+) for implemented HL interventions that involved older adults. Studies were screened for eligibility criteria and further selected for aspects important in European public health policy, including priority diseases, risk factors and vulnerable target groups. Interventions were prioritised using a multiple criteria tool to select final interventions that also featured strong evidence of efficacy and a broad range of strategies. Results From nearly 7000 written summaries, 1097 met inclusion criteria, of which 233 were chosen for scoring and ranking. Of these, seven had the highest multi-criteria scores. Eight more articles were selected based on rounded criteria including a high multi-criteria score as well as elements of innovation. Final selections were 18 articles describing 15 programmes, which feature strong evidence of efficacy among important diseases or risk factors and vulnerable groups, or that had success with elements of innovation were identified. Most programmes tried to increase skills in communication, self-management and understanding healthcare or lifestyle choices. Conclusions These programmes have multiple positive attributes which could be used as guidance for developing innovative intervention programmes to trial on European older adults. They provide evidence of efficacy in addressing high priority diseases and risk factors. Electronic supplementary material The online version of this article (doi:10.1186/s13104-016-2056-9) contains supplementary material, which is available to authorized users.

In this paper we deal with an urban and territorial planning problem by applying the Non Additive Robust Ordinal Regression (NAROR). NAROR is a recent extension of the Robust Ordinal Regression family of Multiple Criteria Decision Aiding methods to the Choquet integral preference model which permits to represent interaction between considered criteria through the use of a set of non-additive weights called capacity or fuzzy measure. The use of NAROR permits the Decision Maker (DM) to give preference information in terms of preferences between pairs of alternatives with which she is familiar, and relative importance and interaction of considered criteria. The basic idea of NAROR is to consider the whole set of capacities that are compatible with the preference information given by the DM. In fact, the recommendation supplied by NAROR is expressed in terms of necessary preferences, in case an alternative is preferred to another for all compatible capacities, and of possible preferences, in case an alternative is preferred to another for at least one compatible capacity. In the considered case study, several sites for the location of a landfill are analyzed and compared through the use of the NAROR on the basis of different criteria, such as presence of population, hydrogeological risk, interferences on transport infrastructures and economic cost. This paper is the first application of NAROR to a real-world problem, even if not already with real DMs, but with a panel of experts simulating the decision process.

As part of the integrated strategy of the Moroccan state aimed at the social and economic development of the Moroccan rural community, an electrification program has been in place since the 90s. This program, called PEGR, has for main objective the improvement of the electrification rate for the national rural world. Given the large number of villages to be electrified and the colossal budget that will induce, several criteria have been retained to objectively distinguish the villages with the highest priority for electrification. Given the nature of this problem to be solved, which is a multicriteria decision aid problem, we propose in this article to use the multicriteria aggregation method ELECTRE III to rank the villages from the highest priority to the lowest priority for the electrification.

Liquefied Petroleum Gas (LPG) is a fossil fuel that has been attracting a lot of attention in national and global markets because of its logistical versatility, its calorific power, and because it emits a low level of pollutants. The history of its exploitation in the sharply competitive Brazilian market has been marked by various crises which made the exploitation of LPG an activity that has been subject to a number of uncertainties. The product is in the production chain of different market segments and is an important component in the national energy matrix. As a result of this, the process of classifying consumers by LPG distributors is a strategic task and subject to a set of criteria that need to be observed. In this context, this article concentrates on multi-criteria modeling in order to resolve the problematic of classifying clients in a LPG distribution company. A model is proposed based on the ELECTRE TRI method and the aim is to allocate the portfolio of clients to a set of ranked classes. &nbsp

National audience; Brownfield redevelopment provides opportunities to build sustainable cities for the future. However, brownfield sites are often contaminated from previous industrial activities (e.g. waste disposal, manufacturing, chemical activities or petroleum using services). In France, brownfield redevelopment is justified by a cost-benefit analysis conducted in management plans which are used for brownfield redevelopment projects involving a change in use. Hence, successful brownfield redevelopment projects must meet two conditions. Firstly, all costs, constraints, and benefits resulting from any brownfield redevelopment projects must be correctly anticipated and evaluated. Secondly, it is essential to initiate participatory processes between project stakeholders in order to increase social acceptability of brownfield redevelopment decisions. The aim of this paper is to propose a methodological approach to improve ex-ante stakeholders’ involvement and hence social acceptability of land-use plans in the case of brownfield redevelopment projects. The methodological approach combines three steps. We show how this approach can be applied in order to craft public policy recommendations for urbans planners that could be integrated into any brownfield redevelopment project using an example of a brownfield redevelopment project located in the Pays de la Loire region (France).; La reconversion de friches urbaines représente une opportunité foncière pour construire et aménager la ville durable de demain. Cependant, en raison de leurs activités passées, les friches urbaines sont des sites pollués. Leur reconversion se justifie à partir d’une analyse coûts-bénéfices réalisée dans le cadre du plan de gestion du site. Ainsi, la réussite d’un projet de reconversion nécessite non seulement d’anticiper correctement les contraintes, et les bénéfices associés à la mise en œuvre d’un tel projet, mais aussi d’initier une démarche participative entre les différentes parties prenantes du projet. Nous proposons une démarche méthodologique participative ex-ante visant à améliorer l’implication des parties prenantes, et l’acceptabilité des projets d’aménagement territorial dans le cas de la reconversion de friches urbaines polluées. Nous présentons les trois étapes sur lesquelles repose la démarche. Nous montrons comment cette approche sera appliquée dans le cadre de la thèse à partir d’un exemple de projet de reconversion de friche urbaine polluée en Pays de la Loire afin de proposer, dans une visée normative, des recommandations d’action à destination des porteurs de projets.

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior Use of Performance Measurement Systems through multi-criteria analysis to support the decision is constituted as an important tool that can support the diagnosis of competitiveness of organizations. Since the approach is intertwined with the business results and more specifically to the competition, this work focuses on measuring the performance of companies in the wine industry in southern Brazil, from business and industry dimensions. For this we opted for a qualitative and quantitative research, exploratory and descriptive, conducted through a multi case study. From the development of modeling and application in the wine sector in the region under study, it became possible to verify the criteria and critical success factors in the competitive landscape, that through multi-criteria analysis and use of performance indicators enabled the identification of prioritizing factors and the distinction regarding organizational performance in the context of the evaluated dimensions. The overall picture shows that only one of the companies surveyed can be considered fully competitive, confirming the strength of the pressures on the sector and the absence of strategies that allow companies a representative expansion. O uso de Sistemas de Medição de Desempenho (SMD) através da análise multicritério como suporte a decisão se constitui como uma importante ferramenta capaz de subsidiar o diagnóstico da competitividade das organizações. Visto que a abordagem se entrelaça com os resultados empresariais e de maneira mais específica com a competição, esse trabalho concentra-se em medir o desempenho das empresas do setor vitivinícola na região sul do Brasil, a partir das dimensões empresarial e setorial. Para isso optou-se por uma pesquisa de natureza qualitativa e quantitativa, exploratória e descritiva, realizada através de um estudo multicaso. A partir do desenvolvimento da modelagem e aplicação no setor vitivinícola da região em estudo, tornou-se possível verificar os critérios e os fatores críticos de sucesso do cenário competitivo, que através da análise multicritério e utilização de indicadores de desempenho viabilizaram a identificação da priorização dos fatores e da distinção, no que tange o desempenho organizacional no contexto das dimensões avaliadas. O panorama geral mostra que apenas uma das empresas pesquisadas pode ser considerada plenamente competitiva, o que confirma a intensidade das pressões sobre o setor e a ausência de estratégias que permitam as empresas uma representativa expansão.

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior The oil discoveries in Brazilian pre-salt began a strong mobilization of government and also private companies to the rescue of the shipbuilding industry in the country. With the objective to become the Brazilian industry globally competitive, various government incentives provided growth, expansion and modernization of this industry that already ranks fourth in the ranking of the largest craft producing countries of the world. In this context, despite not being a young industry in Brazil, shipbuilding, especially focused on oil exploration (offshore) proved to be important element for the growth of the economy, creating jobs, developing producing regions and boosting the entire chain productive. Despite the favorable environment in which shipbuilding and offshore industries are, there are still gaps that undermine competitiveness these organizations in the global market, as the skilled labor available, the adequacy of suppliers to their demands and the large need for investment in technology. Thus, this dissertation project aims at proposing a model able to measure the level of innovation in Brazilian shipbuilding and offshore, in the structural and business fields, based on a literature and documentary research on the characteristics of the industry sector, using for both assumptions regarding the Key Performance Indicators (KPIs) and the concepts of multi-criteria decision aid. The proposed model will be put to test in real companies, returning in its evaluation phase an index that represents the competitive performance of each industry evaluated, thus allowing comparison and discussion of the results. Subsequently, will be proposed recommendations able to leverage the innovation of those who submit the most unsatisfactory levels, thus demonstrating the relevance of modeling to increase the sector's competitiveness against the scenario that presents itself. As descobertas de petróleo no pré-sal brasileiro iniciaram uma grande mobilização do governo e também de empresas privadas para o resgate da indústria de construção naval em todo país. Com o objetivo de tornar o setor brasileiro mundialmente competitivo, vários incentivos do governo proporcionaram o crescimento, expansão e modernização desta indústria que já ocupa a quarta posição no ranking dos maiores países produtores de embarcações do mundo. Neste âmbito, apesar de não ser um setor jovem no Brasil, a construção naval, em especial a voltada para exploração de petróleo (offshore) mostrou-se elemento importante para o crescimento da economia, criando empregos, desenvolvendo regiões produtoras e impulsionando toda a cadeia produtiva. Apesar do ambiente favorável em que se encontram as indústrias de construção naval e offshore na última década, ainda existem lacunas que prejudicam a inovação e a competitividade destas organizações no mercado global, como a qualificação da mão-de-obra disponível, as adequações dos fornecedores às suas demandas e a grande necessidade de investimento em tecnologia. Assim, este projeto de dissertação tem por objetivo propor uma modelagem capaz de mensurar o nível de gestão da inovação em indústrias de construção naval e offshore brasileiras, fundamentada em uma pesquisa bibliográfica e documental sobre as características do setor, utilizando-se para tanto dos pressupostos referentes aos Key Performance Indicators (KPIs) e dos conceitos da abordagem multicritério de apoio à decisão. A modelagem proposta foi submetida a teste em empresas reais, retornando em sua fase de avaliação um índice que representa o desempenho em inovação de cada indústria avaliada, permitindo-se assim a comparação e discussão dos resultados obtidos. Posteriormente, foram propostas recomendações capazes de alavancar a gestão da inovação daquelas que apresentaram os níveis mais insatisfatórios, demonstrando-se assim a relevância da modelagem para elevar a inovação do setor frente ao cenário que se apresenta.

Ces dernières décennies, l'industrie en microélectronique s'est astreinte à suivre la loi de Moore pour améliorer la performance des circuits intégrés (Integrated Circuit, IC). Cependant, il sera sans doute impossible de suivre cette loi dans le futur à cause de limitations physiques apparaissant avec la miniaturisation des transistors en-dessous d'un certain seuil si aucune innovatio n'a lieu. Afin de surmonter ce problème, de nouvelles technologies ont émergées, et parmi elles les circuits 3D (3D-Stacked Integrated Circuit, 3D-SIC) ont été proposés pour maintenir l'évolution de la loi de Moore. Les 3D-SIC peuvent apporter de nombreux avantages dans le design des futurs IC mais au coût d'une complexité de design accrue étant donné leur nature fortement combinatoire, et l'optimisation de plusieurs critères conflictuels. Dans cette thèse, nous présentons une première étude des outils qui pourraient aider dans le design de 3D-SIC, en utilisant l'optimisation multi-objectifs (multiobjective optimization, MOO) et l'aide multicritère à la décision (multi-criteria decision aid, MCDA). Notre étude vise l'une des problématiques principales dans le design de 3D-SIC: le partitionnement avec estimation du floorplanning en tenant compte de plusieurs objectifs. Cette thèse montre que l'utilisation d'un paradigme multicritère peut fournir une analyse pertinente et objective du problème. Cela peut permettre une exploration rapide de l'espace de design et une amélioration des flots de conception actuels étant donné qu'il est possible de fournir des informations qualitatives et quantitatives par rapport à l'espace de design qui ne seraient pas disponibles avec les outils actuels. De même, de par sa flexibilité, la MOO peut tenir compte des multiples degrés de liberté des 3D-SIC, ce qui permet plus de possibilités de design qui ne sont généralement pas prises en compte avec les outils actuels. De plus, les algorithmes développés peuvent montrer des propriétés de robustesse même si le problème est complexe. Enfin, appliquer l'aide multicritère à la décision pourrait permettre aux designers de faire des choix pertinents selon un processus transparent., In the past decades, the microelectronic industry has been following the Moore's law to improve the performance of integrated circuits (IC). However, it will probably be impossible to follow this law in the future due to physical limitations appearing with the miniaturization of the transistors below a certain threshold without innovation. In order to overcome this problem, new technologies have emerged, and among them the 3D-Stacked Integrated Circuits (3D-SIC) have been proposed to keep the Moore's momentum alive. 3D-SICs can bring numerous advantages in the design of future ICs but at the cost of additional design complexity due to their highly combinatorial nature, and the optimization of several conflicting criteria. In this thesis, we present a first study of tools that can help the design of 3D-SICs, using mutiobjective optimization (MOO) and multi-criteria decision aid (MCDA). Our study has targeted one of the main issues in the design of 3D-SICs: the partitioning with floorplanning estimation under multiple objectives. This thesis shows that the use of a multi-criteria paradigm can provide relevant and objective analysis of the problem. This can allow a quick design space exploration and an improvement of the current design flows as it is possible to provide qualitative and quantitative information about a design space, that would not be available with current tools. Also, with its flexibility, MOO can cope with the multiple degrees of freedom of 3D-SICs, which enables more design possibilities that are usually not taken into account with current tools. In addition, the developed algorithms can show robustness properties even if the problem is complex. Finally, applying multi-criteria decision aid would allow designers to make relevant choices in a transparent process., Doctorat en Sciences de l'ingénieur, info:eu-repo/semantics/nonPublished

Design in Civil Engineering is usually performed in a semi-probabilistic way using characteristic values which are associated with partial safety factors. However, this approach doesn’t guarantee the structure robustness with regard to uncertainties that could affect its performance during construction and operation. In this thesis, we propose a decision aid methodology for robust design of steel frame on spread foundations. Soil-structure interaction is taken into consideration in the design process implying that the design choices on foundations influence the design choices on steel frame (and vice versa). The proposed design approach uses multi-objective optimization and decision aid methods in order to obtain the best solution with respect to the decision-maker’s preferences on each criterion. Furthermore, sensitivity analyzes are performed in order to identify and quantify the most influencing uncertainty sources on variability of the structure performances. These uncertainties are modeled as random variables and propagated in the design process using latin hypercube sampling. A part of this dissertation is devoted to the effects of uncertainties involved in soil properties on the structure responses and on the design global approach., La conception des ouvrages en Génie Civil se fait habituellement de manière semi-probabiliste en employant des valeurs caractéristiques auxquelles sont associées des facteurs partiels de sécurité. Toutefois, de telles approches ne permettent pas de garantir la robustesse de l’ouvrage conçu vis-à-vis des sources d’incertitudes susceptibles d’affecter ses performances au cours de sa réalisation et de son fonctionnement. Nous proposons dans ce mémoire une méthodologie d’aide à la décision pour la conception robuste des ouvrages qui est appliquée à une structure métallique reposant sur des fondations superficielles. La conception de cet ouvrage est conduite en intégrant le phénomène d’interaction sol-structure qui implique que les choix de conception faits sur la fondation influencent ceux faits sur la structure supportée (et réciproquement). La démarche de conception proposée fait appel à des outils d’optimisation multi-objectif et d’aide à la décision afin d’obtenir une solution qui offre le meilleur compromis entre l’ensemble des préférences énoncées par le décideur sur chaque critère de conception. Des analyses de sensibilité sont menées parallèlement dans le but d’identifier et de quantifier les sources d’incertitude les plus influentes sur la variabilité des performances de l’ouvrage. Ces sources d’incertitude représentées sous une forme probabiliste sont intégrées dans la procédure de conception et propagées à l’aide d’une méthode d’échantillonnage par hypercube latin. Une partie du mémoire est consacrée à l’analyse des effets de l’incertitude relative à la modélisation des paramètres géotechniques sur la réponse de l’ouvrage et sur la démarche plus globale d’optimisation.

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior Although not a recent invention, the plastics material are continuously renewed and used in numerous applications with various levels of complexity, ranging from disposable goods to engineering plastics with specific physico-chemical properties. Regarding the production chain of this material, however, it appears that it is extensive and heavily dominated by the large chemical and petrochemical companies, so that the industries of plastics processing, present in the form of a large set small businesses constitute the most notoriously-brittle and more susceptible to the forces of agents upstream and downstream link. Within this framework, the research developed in this dissertation aimed to propose a model for assessing the level of competitiveness of these industries, using both concepts for the multicriteria approach for decision aid. The proposed model was developed based on the most relevant critical success factors identified in the literature, organized as a hierarchical structure, where a performance indicator was constructed for each factor and weighted by a substitution rate. The model was subjected to test in twelve real companies, returning in its evaluation phase an index that represents the competitive performance of each industry evaluated, thus allowing the comparison and discussion of the results. Subsequently, shares of recommendations aiming to simulate possible results to be achieved with the adoption of strategic initiatives, developing an electronic tool for data processing and report generation. At the end, we conclude that it is possible to measure and evaluate the level of competitiveness in plastic processing industries. Apesar de não ser uma invenção recente, os materiais plásticos se renovam continuamente, sendo utilizados em inúmeras aplicações com os mais variados níveis de complexidade, que vão desde bens descartáveis até plásticos de engenharia com propriedades físico-químicas específicas. No que tange a cadeia produtiva deste material, entretanto, verifica-se que a mesma é extensa e fortemente dominada pelas empresas químicas e petroquímicas de grande porte, de tal maneira que as indústrias de transformação de plásticos, presentes sob a forma de um elevado conjunto de pequenas empresas, constituem-se notoriamente do elo mais frágil e mais suscetível às forças dos agentes a montante e a jusante. Frente a este cenário, a pesquisa desenvolvida nesta dissertação de mestrado teve por objetivo propor uma modelagem para avaliar o nível de competitividade destas indústrias, utilizando-se para tanto os conceitos da abordagem multicritério de apoio à decisão. A modelagem proposta foi desenvolvida com base nos fatores críticos de sucesso mais relevantes identificados na literatura, organizados sob a forma de uma estrutura hierárquica, onde um indicador de desempenho foi construído para cada fator e ponderado por uma taxa de substituição própria. A modelagem foi submetida a teste em doze empresas reais, retornando em sua fase de avaliação um índice que representa o desempenho competitivo de cada indústria avaliada, permitindo-se assim a comparação e discussão dos resultados obtidos. Posteriormente, foram propostas ações de recomendações com o objetivo de simular os resultados possíveis de serem obtidos com a adoção de ações estratégicas, desenvolvendo-se uma ferramenta eletrônica para o processamento de dados e geração de relatórios. Ao término, conclui-se que é possível medir e avaliar o nível de competitividade em indústrias de transformação de plástico.

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES It is notorious the role of urban displacements within the evolutionary social context, economic and cultural societies over the past centuries, being one of the most important activities and concern regarding the administration and planning of cities, so that more than half of the world's population is directly involved in any of these locations. In view of this scenario, various activities have been planned recently in order to improve the urban mobility conditions, in particular for the system called Bus Rapid Transit (BRT), which demands of its responsible proactively management tools about the situation of the local operation. Therefore, this paper aims to propose a modeling for performance measurement on transport BRT in Brazil that helps their managers for the efficient management of the system. Methodologically, the concepts described by multi-criteria Approach, in order to be able to refer the competitiveness level of the factors in the industry. To end, the application includes the verification of the situation of twelve cities with BRT and more than one million inhabitants in Brazil, where it was noted that the city of Curitiba (������j9 = 89%) has the system with better conditions of installation in the country, whose level of evaluation is in the default "Satisfactory", followed by Rio de Janeiro (������j2 = 81%), Recife (������j3 = 78%) and São Paulo (������j1 = 78%), in order to comply with acceptable reliability level research in demand. É notório o papel dos deslocamentos urbanos dentro do contexto evolutivo social, econômico e cultural das sociedades ao longo dos últimos séculos, sendo uma das atividades de maior relevância e preocupação no que tange a administração e o planejamento das cidades, de modo que mais da metade da população mundial se encontra diretamente envolvida em alguma destas localidades. Tendo em vista esse cenário preocupante, diversas atividades vêm sendo planejadas nos últimos tempos visando a melhoria das condições em que a mobilidade urbana se encontra, em especial para o sistema denominado por Bus Rapid Transit (BRT), o que exige de seus responsáveis ferramentas capazes de sinalizar, de maneira proativa, a situação em que se encontra a sua operação local. Portanto, o presente trabalho tem por objetivo central propor uma modelagem para a mensuração de desempenho dos transportes BRT no Brasil que auxilie os seus gestores para o gerenciamento eficiente do sistema. Metodologicamente, utilizou-se os conceitos descritos pela Abordagem multicritério, de forma a ser capaz de remeter o nível de competitividade dos fatores no setor. Ao final a aplicação contempla a verificação da situação de doze cidades que possuem BRT e mais de um milhão de habitantes no Brasil, onde se constatou que a cidade de Curitiba (j9 = 89%) possui o sistema com melhores condições de instalação no país, cujo nível de avaliação se encontra no padrão “Satisfatório”, seguido do Rio de Janeiro (j2 = 81%), Recife (j3 = 78%) e São Paulo (j1 = 78%), de modo a atender com nível de confiabilidade aceitável a demanda de pesquisa em questão.

Sustainability and social responsibility can be measured trough several dimensions. This study aims to understand which ones are important for the consumers and how much information they are expecting on them. Too little information may be irritating for some consumer, too much may overload them. In this paper, we have developed and evaluated four different types of sustainable and socially responsible labels inspired from a multi-criteria decision aid approach. Each one has an additional piece of information. The research has evaluated the corporate social responsibility performance of three food companies operating in the Sannio area (South of Italy) that produce respectively oil, pasta and wine. The sustainability of their branded products has been measured and four different labels indicating their sustainable performance to internal and external stakeholders have been created. The elaboration of a standardized labelling system on food products, outlining their green, social and ethical credentials, is important to avoid to confuse the consumers and producers.

International audience; The implementation of Sustainable Development (SD) within an Organization is a difficult task. This is due to the fact that it is difficult to deal with conflicting and incommensurable aspects such as environmental, economic and social dimensions. In this paper we have used a Multi-Criteria Decision Aid (MCDA) methodology to cope with these difficulties. MCDA methodology offers the opportunity to avoid monetary valuation of the different dimensions of the SD. These dimensions are not substitutable for one another and all have a role to play. There is an abundance of possible aggregation procedures in MCDA methodology. In this paper we have proposed an innovative method to choose a suitable aggregation procedure for SD problems. Real life case studies of the implementation of an outranking approach (i.e., ELECTRE) and of a mono-criterion synthesis approach (i.e., MAUT approaches based on the Choquet integral) were done to respectively rank 22 SD strategic actions within an expertise Institute and rank 20 practical operational actions to control energy consumption of the Institute's buildings.

A structured evaluation of the construction industry's suppliers, considering aspects which make their quality and credibility evident, can be a strategic tool to manage this specific supply chain. This study proposes a multi-criteria decision model for suppliers' selection from the construction industry, as well as an efficient evaluation procedure for the selected suppliers. The model is based on SMARTER (Simple Multi-Attribute Rating Technique Exploiting Ranking) method and its main contribution is a new approach to structure the process of suppliers' selection, establishing explicit strategic policies on which the company management system relied to make the suppliers selection. This model was applied to a Civil Construction Company in Brazil and the main results demonstrate the efficiency of the proposed model. This study allowed the development of an approach to Construction Industry which was able to provide a better relationship among its managers, suppliers and partners.

Project Portfolio Selection (PPS) is a kind of problem found in a variety of practical situations, such as research and development planning. Several different approaches have been proposed to deal with Project Portfolio Selection (PPS). However, the consideration on benefits synergies between projects is little addressed in the literature. The main focus of this paper is on synergy between projects, which is related to the interactions between the benefits of the projects. In this paper, a method has been developed to meet some of the major limitations of existing models: the inadequacy of the treatment of multiple criteria and inter-relationships between projects and the absence of the recognition and incorporation of managers' experience and knowledge, concerning to synergy between projects. The decision model is formulated as a non-linear 0-1 optimization problem, which considers the evaluations of projects and the benefit synergies of theses projects.

International audience; The problem investigated in this paper concerns the integration of a decision maker preference model within a labeling algorithm for the multi-objective shortest path problem. The aim is to use a preference model built a priori for computing efficiently exact preferred solutions. The approach is based on the Choquet integral, which can model not only relative importances but also interactions between criteria. The paper introduces Choquet dominance rules, which replaces the Pareto dominance. The rules are integrated within the label setting algorithm originally proposed in 1984 by Martins. Numerical experiments report significant performance improvements, and conclude on the efficiency of the rules for reducing the search space.

We demonstrate that multi-criteria analysis (MCA), though initially developed in the operations research field, can be usefully applied within the context of the stakeholder-driven or institutional approach to transport project evaluation. We first compare the features of the institutional and neo-classical approaches to economic evaluation. We then identify a number of conditions to be fulfilled for the institutional approach to result in a social optimum that is neutral from a distributional perspective. Such an optimum may not have been intentionally pursued, but may eventually arise as a by-product of the actions of self-interested, individual stakeholder groups. We illustrate the relevance of our approach through a number of recent case studies. Policy makers can use our findings as an input for designing formal decision-making processes, geared towards including stakeholder objectives in transport project evaluation. ispartof: European Transport ispartof: European Transport vol:47 issue:47 pages:3-24 status: published

"The objective of this work consists in the analysis of reliability in process plants in order to manage the failure risks and avoid them considering the probability of failure among other important criteria. The preventive maintenance is an important function for the better operation of any enterprise; we propose the ranking of process equipment according with their criticality for the operation plant to get a good preventive maintenance planning. The subjacent hypothesis is that decision makers should recognize that preventive maintenance planning does not have a single criterion as for example, costs or time, but are multicriteria by nature. To show how this methodology functions, naphtha and intermediate distillates Hidrodesulfuration Plant is used as a case study. The obtained results are the ranking of the process equipment; besides the parametric study that shows: the lower the budget assigned to preventive maintenance, the bigger the economic loss."

Multi-criteria decision aid has emerged from the operational research field as the answer given to a couple of important questions encountered in complex decisions problems. Firstly, as decision aiding tools, such methods do not replace the decision maker with a mathematical model, but support him to construct his solution by describing and evaluating his options. Secondly, instead of using a unique criterion capturing all aspects of the problem, in the multi-criteria decision aid methods one seeks to build multiple criteria, representing several points of view. This work explores the application of multi-criteria decision aid methods for optimising food chain countermeasure strategies after a radioactive release to the environment. The core of the thesis is dedicated to formulating general lines for the development of a multi-criteria decision aid model. This includes the definition of potential actions, construction of evaluation criteria and preference modelling and is essentially based on the results of a stakeholders’ process. The work is centred on the management of contaminated milk in order to provide a concrete focus and because of its importance as an ingestion pathway in short term after an accident.Among other issues, the public acceptance of milk countermeasures as a key evaluation criterion is analysed in detail. A comparison of acceptance based on stochastic dominance is proposed and, based on that, a countermeasures’ acceptance ranking is deduced.In order to assess “global preferences” taking into account all the evaluation criteria, an ordinal method is chosen. This method allows expressing the relative importance of criteria in a qualitative way instead of using, for instance, numerical weights. Some algorithms that can be used for robustness analysis are also proposed. This type of analysis is an alternative to sensitivity analysis in what concerns data uncertainty and imprecision and seeks to determine how and if a model result or conclusion obtained for a specific instance of a model’s parameters holds over the entire domain of acceptable values for these parameters.The integrated multi-criteria decision aid approach proposed makes use of outranking and interactive methodologies and is implemented and tested through a number of case studies and prototype tools., Doctorat en Sciences de l'ingénieur, info:eu-repo/semantics/nonPublished

We present the problem of the selection of k best alternatives in the context of multiple criteria decision aid. We situate ourselves in the context of pairwise comparisons of alternatives and the underlying bipolar-valued outranking digraph. We present three formulations for the best k-choice problem and detail how to solve two of them directly on the outranking digraph.

This paper presents an application of the classical TODIM method that is compared against the use of the same approach, but extended through the Choquet Integral to evaluate and recommend alternatives for the destination of the discovery of natural gas reserves in Santos Basin. The application focus on the Mexilhao field, analyzing the uncertainties and risks involved, concerning the regional market (South America) as well as the influence of others (such as Europe and the US).In order to produce a decision, various quantitative as well as qualitative factors such as politics, available technologies, return vs. risk, balance between supply and demand in Brazil, environmental and social impacts, regulatory issues, timing of implementation and alignment with the company's strategies must be taken into account. This leads to a multi-criteria analysis. It can be seen through a non-parametric statistical sign test that there are no significant differences between the results from the two methods.

In a first Chapter, we present a critical review of the weighted average when facing distributional performance evaluations measured on an essentially qualitative preference scale. In a second Chapter we develop a general typology of qualitative preference scales between between ordinal and cardinal; from non gradual, non metrifyable, partially gradual, gradual, metrifyable, metric extensive to additive, additive-archemidian and measurable scales. The typology is based on the subjective degree of indeterminateness of the numerical representation of the performance contrasts. In a third Chapter we finally define a typology of subjective outranking situations: elementary, intensive or extensive; based on the corresponding underlying type of the preference measurement scale.

Multi-Criteria Decision Aid (MCDA) methods include various collections of mathematical techniques related to decision support systems in non-deterministic environments to support such applications as facility management, disaster management and urban planning. This paper applies MCDA approaches based on qualitative reasoning techniques with linguistic labels assessment. The aim of this method is ranking multi-attribute alternatives in group decision-making with qualitative labels. Finally this method is applied to a case of urban planning in selection of the less energy consumption project in a geographical area in Catalonia. Keywords: Multi-Criteria Decision Aid, qualitative labels, energy, BDC. Bollettino Del Centro Calza Bini, Vol 14, N° 2 (2014): Towards an Inclusive, Safe, Resilient and Sustainable City: Approaches and Tools