1,720,961 research outputs found
Integrating structuring and evaluation models for assessing scenarios of hydrogen technologies in terms of social acceptability
Cette thèse porte sur l’aide à la décision dans un contexte décisionnel très complexe. Classiquement, pour résoudre de telles situations, on utilise des méthodes de structuration de problèmes. Cependant ces méthodes bien qu’appliquées dans le cadre multi acteur ou dans les décisions de groupe, n’aboutissent pas toujours à des résultats directement exploitables dans un modèle d’évaluation. Ou, lorsque c’est le cas, les données obtenues par structuration sont utilisées comme si elles provenaient d’un seul décideur, tendant à réduire par conséquent l'efficacité de la décision prise et son adhésion publique. Dans cette thèse nous nous sommes attelés à concevoir un modèle d’intégration d’outils conciliant le choix approprié d’outils de structuration pour les décisions de groupe et son exploitation efficace dans un modèle d’évaluation multicritère. En particulier nous nous sommes focalisés sur les modalités du passage des cartes cognitives aux arbres de valeurs. Ensuite nous avons appliqué notre démarche sur le cas pratique du projet ’’AIde à la Décision pour l'identification et l'accompagnement aux transformations sociétales induites par les nouvelles technologies de l'Hydrogène’’ (AIDHY). Enfin, la dernière partie de notre thèse est axée sur l’apport d’une modélisation multicritère pour appréhender formellement le problème d’évaluation des scénarios, formulé comme un problème de tri multicritère. Par conséquent, nous avons construit une méthode permettant d’observer et de paramétrer le comportement des invariants d’une acceptabilité sociale en général, par le biais d’une d’analyse de sensibilité à partir du cas de l’hydrogène énergie.This thesis focuses on decision support in a very complex decision-making context. Typically, to solve such situations, methods of problem structuring are used. However, these methods although applied in the multi-stakeholder framework or group decisions do not always lead to results directly used in a valuation model. Even when this is the case, the data obtained by problem structuring are used as if they came from a single decision maker, thus tending to reduce the effectiveness of the decision and its popular support. In this thesis we attempted to develop a model that incorporates tools that reconcile the appropriate choice of tools for structuring group decision choice and its effective operation in a model of multi-criteria evaluation. In particular, we focused on how processing cognitive maps into value trees. Then we have applied our approach to the practical case of the ‘‘AIDHY” project. Finally, the last part of the thesis is focused on providing a multi-criteria modeling to formally approach the problem of evaluating scenarios, formulated as a multi-criteria sorting problem. Therefore, we constructed a method to observe and configure the behavior of invariants of social acceptability in general, through a sensitivity analysis based on the case of hydrogen energy
Modèle de structuration et d'évaluation des scénarios des technologies de l'hydrogène du point de vue de l'acceptabilité sociale
This thesis focuses on decision support in a very complex decision-making context. Typically, to solve such situations, methods of problem structuring are used. However, these methods although applied in the multi-stakeholder framework or group decisions do not always lead to results directly used in a valuation model. Even when this is the case, the data obtained by problem structuring are used as if they came from a single decision maker, thus tending to reduce the effectiveness of the decision and its popular support. In this thesis we attempted to develop a model that incorporates tools that reconcile the appropriate choice of tools for structuring group decision choice and its effective operation in a model of multi-criteria evaluation. In particular, we focused on how processing cognitive maps into value trees. Then we have applied our approach to the practical case of the ‘‘AIDHY” project. Finally, the last part of the thesis is focused on providing a multi-criteria modeling to formally approach the problem of evaluating scenarios, formulated as a multi-criteria sorting problem. Therefore, we constructed a method to observe and configure the behavior of invariants of social acceptability in general, through a sensitivity analysis based on the case of hydrogen energy.Cette thèse porte sur l’aide à la décision dans un contexte décisionnel très complexe. Classiquement, pour résoudre de telles situations, on utilise des méthodes de structuration de problèmes. Cependant ces méthodes bien qu’appliquées dans le cadre multi acteur ou dans les décisions de groupe, n’aboutissent pas toujours à des résultats directement exploitables dans un modèle d’évaluation. Ou, lorsque c’est le cas, les données obtenues par structuration sont utilisées comme si elles provenaient d’un seul décideur, tendant à réduire par conséquent l'efficacité de la décision prise et son adhésion publique. Dans cette thèse nous nous sommes attelés à concevoir un modèle d’intégration d’outils conciliant le choix approprié d’outils de structuration pour les décisions de groupe et son exploitation efficace dans un modèle d’évaluation multicritère. En particulier nous nous sommes focalisés sur les modalités du passage des cartes cognitives aux arbres de valeurs. Ensuite nous avons appliqué notre démarche sur le cas pratique du projet ’’AIde à la Décision pour l'identification et l'accompagnement aux transformations sociétales induites par les nouvelles technologies de l'Hydrogène’’ (AIDHY). Enfin, la dernière partie de notre thèse est axée sur l’apport d’une modélisation multicritère pour appréhender formellement le problème d’évaluation des scénarios, formulé comme un problème de tri multicritère. Par conséquent, nous avons construit une méthode permettant d’observer et de paramétrer le comportement des invariants d’une acceptabilité sociale en général, par le biais d’une d’analyse de sensibilité à partir du cas de l’hydrogène énergie
Modèle de structuration et d'évaluation des scénarios des technologies de l'hydrogène du point de vue de l'acceptabilité sociale
This thesis focuses on decision support in a very complex decision-making context. Typically, to solve such situations, methods of problem structuring are used. However, these methods although applied in the multi-stakeholder framework or group decisions do not always lead to results directly used in a valuation model. Even when this is the case, the data obtained by problem structuring are used as if they came from a single decision maker, thus tending to reduce the effectiveness of the decision and its popular support. In this thesis we attempted to develop a model that incorporates tools that reconcile the appropriate choice of tools for structuring group decision choice and its effective operation in a model of multi-criteria evaluation. In particular, we focused on how processing cognitive maps into value trees. Then we have applied our approach to the practical case of the ‘‘AIDHY” project. Finally, the last part of the thesis is focused on providing a multi-criteria modeling to formally approach the problem of evaluating scenarios, formulated as a multi-criteria sorting problem. Therefore, we constructed a method to observe and configure the behavior of invariants of social acceptability in general, through a sensitivity analysis based on the case of hydrogen energy.Cette thèse porte sur l’aide à la décision dans un contexte décisionnel très complexe. Classiquement, pour résoudre de telles situations, on utilise des méthodes de structuration de problèmes. Cependant ces méthodes bien qu’appliquées dans le cadre multi acteur ou dans les décisions de groupe, n’aboutissent pas toujours à des résultats directement exploitables dans un modèle d’évaluation. Ou, lorsque c’est le cas, les données obtenues par structuration sont utilisées comme si elles provenaient d’un seul décideur, tendant à réduire par conséquent l'efficacité de la décision prise et son adhésion publique. Dans cette thèse nous nous sommes attelés à concevoir un modèle d’intégration d’outils conciliant le choix approprié d’outils de structuration pour les décisions de groupe et son exploitation efficace dans un modèle d’évaluation multicritère. En particulier nous nous sommes focalisés sur les modalités du passage des cartes cognitives aux arbres de valeurs. Ensuite nous avons appliqué notre démarche sur le cas pratique du projet ’’AIde à la Décision pour l'identification et l'accompagnement aux transformations sociétales induites par les nouvelles technologies de l'Hydrogène’’ (AIDHY). Enfin, la dernière partie de notre thèse est axée sur l’apport d’une modélisation multicritère pour appréhender formellement le problème d’évaluation des scénarios, formulé comme un problème de tri multicritère. Par conséquent, nous avons construit une méthode permettant d’observer et de paramétrer le comportement des invariants d’une acceptabilité sociale en général, par le biais d’une d’analyse de sensibilité à partir du cas de l’hydrogène énergie
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Integrating Cognitive Mapping Analysis into Multi-Criteria Decision Aiding
Multi-criteria decision aiding (MCDA) is a process implying two distinctive actors (the client and the analyst) which aims at providing transparent and coherent support for complex decision situations, taking into account values of decision makers involved in a specific decision context. The theoretical framework of MCDA traditionally addresses problems involving a single decision maker. However, MCDA ought to investigate the case where the decision maker is made up of groups of individuals with conflicting interests. In contrast, cognitive mapping (CM) is frequently used in order to capture the values in a group of individuals and to reduce the antagonism between such values. Its ability to capture multiple values and reduce their conflicting aspects provides a rationale for decision problem analysis with multiple stakeholders. Nevertheless, capturing values by CM is not always intended for a subsequent multi-criteria analysis. This paper explores the integration of both techniques combining their respective strengths as well as their application in assessment of hydrogen technologies scenarios in terms of their perception and social acceptability by the general public
Integrating Cognitive Mapping Analysis into Multi-Criteria Decision Aiding
Multi-criteria decision aiding (MCDA) is a process implying two distinctive actors (the client and the analyst) which aims at providing transparent and coherent support for complex decision situations, taking into account values of decision makers involved in a specific decision context. The theoretical framework of MCDA traditionally addresses problems involving a single decision maker. However, MCDA ought to investigate the case where the decision maker is made up of groups of individuals with conflicting interests. In contrast, cognitive mapping (CM) is frequently used in order to capture the values in a group of individuals and to reduce the antagonism between such values. Its ability to capture multiple values and reduce their conflicting aspects provides a rationale for decision problem analysis with multiple stakeholders. Nevertheless, capturing values by CM is not always intended for a subsequent multi-criteria analysis. This paper explores the integration of both techniques combining their respective strengths as well as their application in assessment of hydrogen technologies scenarios in terms of their perception and social acceptability by the general public
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Integrating Cognitive Mapping Analysis into Multi-Criteria Decision Aiding
Multi-criteria decision aiding (MCDA) is a process implying two distinctiveactors (the client and the analyst) which aims at providing transparent andcoherent support for complex decision situations, taking into account valuesof decision makers involved in a speci c decision context. The theoreticalframework of MCDA traditionally addresses problems involving a singledecision maker. However, MCDA ought to investigate the case where thedecision maker is made up of groups of individuals with con icting interests.In contrast, cognitive mapping (CM) is frequently used in order to capturethe values in a group of individuals and to reduce the antagonism betweensuch values. Its ability to capture multiple values and reduce their con ictingaspects provides a rationale for decision problem analysis with multiplestakeholders. Nevertheless, capturing values by CM is not always intendedfor a subsequent multi-criteria analysis.This paper explores the integration of both techniques combining theirrespective strengths as well as their application in assessment of hydrogentechnologies scenarios in terms of their perception and social acceptabilityby the general public
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