In this paper, Swedish wolf population management was analyzed by two models. One is information index system to measure the positive and normative information held by the stakeholders. By using this system, the quantitative information indices can be measured to give people a clear understanding of the current situation of themselves and other stakeholders in order to enhance communication and engagement. By testing the current information shortage from the national survey, it was confirmed that the information shortage do exist in the society and the need for improving the information acquirement is significant. Besides, satisfaction functions of positive and negative stakeholders towards wolf population were used to test an agreeable wolf population. Stakeholder satisfaction was expressed as a function of wolf pupulation, either positively or negatively correlated, using economic and social features such as taxes, compensation, preventative payments, lupophobia, biphilia, etc. Weights were given to derive overall goal functions for pro- and anti-wolf stakeholders in order to find if there exist wolf population levels which might indicate include common preference. Whereas, current wolf pupulation is around 210 in Sweden, the results showed that all stakeholder groups could be satisfied with a population of around 500 wolves. Some major policy measures were studied for their influence on stakeholders' interests, in particular in how to increase wolf population in order to achieve this solution.

Dans le cadre de cette thèse, notre objectif est de développer une approche multicritère d'aide à la coordination des décideurs pour la résolution des problèmes de sélection dans les chaines logistiques. En effet, nous considérons le cas où nous avons k décideurs/experts notés ST1,...,STk qui cherchent à classer un ensemble de m alternatives/choix notées A1,...,Am évaluées en termes de n critères conflictuels notés C1,..., Cn. L'ensemble des données manipulées est flou. Chaque décideur est amené à exprimer ses préférences pour chaque alternative par rapport à chaque critère à travers une matrice dite matrice des préférences. Notre approche comprend principalement deux phases, respectivement une phase de consensus qui consiste à trouver un accord global entre les décideurs et une phase de classement qui traite le problème de classement des différentes alternatives.Comme résultats, pour la première phase, nous avons adapté deux mécanismes de consensus, le premier est basé sur l'opérateur mathématique neat OWA et le second sur la mesure de possibilité. De même, nous avons développé un nouveau mécanisme de consensus basé sur la programmation par but goal programming. Pour la phase de classement, nous avons adapté dans un premier temps la méthode TOPSIS et dans un second, le modèle du goal programming avec des fonctions de satisfaction. Pour illustrer l'applicabilité de notre approche, nous avons utilisé différents problèmes de sélection dans les chaines logistiques comme la sélection des systèmes de formation, la sélection des fournisseurs, la sélection des robots et la sélection des entrepôts. / This thesis presents a development of a multi-criteria group decision making approach to solve the selection problems in supply chains. Indeed, we start in the context where a group of k decision makers/experts, is in charge of the evaluation and the ranking of a set of potential m alternatives. The alternatives are evaluated in fuzzy environment while taking into consideration both subjective (qualitative) and objective (quantitative) n conflicting criteria. Each decision maker is brought to express his preferences for each alternative relative to each criterion through a fuzzy matrix called preference matrix. We have developed three new approaches for manufacturing strategy, information system and robot selection problem:1. Fuzzy consensus-based possibility measure and goal programming approach.2. Fuzzy consensus-based neat OWA and goal programming approach.3. Fuzzy consensus-based goal programming and TOPSIS approach.Finally, a comparison of these three approaches is conducted and thus was able to give recommendations to improve the approaches and provide decision aid to the most satisfying decision makers.