Parameter identification in Choquet Integral by the Kullback-Leibler diversgence on continuous densities with application to classification fusion.

International audienceClassifier fusion is a means to increase accuracy and decision-making of classification systems by designing a set of basis classifiers and then combining their outputs. The combination is made up by non linear functional dependent on fuzzy measures called Choquet integral. It constitues a vast family of aggregation operators including minimum, maximum or weighted sum. The main issue before applying the Choquet integral is to identify the 2M − 2 parameters for M classifiers. We follow a previous work by Kojadinovic and one of the authors where the identification is performed using an informationtheoritic approach. The underlying probability densities are made smooth by fitting continuous parametric and then the Kullback-Leibler divergence is used to identify fuzzy measures. The proposed framework is applied on widely used datasets

Systèmes coopératifs de fusion explicitant les dépendances entre les informations (application à l'interprétation d'images tomographiques 3D et à la sélection de films d'animation)

Ces dernières années, les systèmes de fusion d'informations se sont démocratisés. De tels systèmes nécessitent, aujourd'hui, une coopération avec des experts humains qui possèdent des connaissances pertinentes sur les problèmes traités. Cette connaissance s'exprime, dans la majorité des cas, sous la forme de situations de référence fournies par les experts. En échange, ils sont demandeurs d'informations explicitant le mécanisme de fusion. Ces travaux de thèse s'appuient sur la notion de dépendance entre informations pour proposer des fonctionnalités explicatives aux utilisateurs. Dans ce contexte, deux applications ont été traitées. Une application industrielle a été menée avec Schneider Electric concernant l'évaluation de la qualité de pièces en matériaux composites. L'opérateur de fusion des attributs extraits de l'image 3D de la pièce est l'intégrale de Choquet. Une nouvelle méthode d'identification de ces paramètres (poids et interactions) a été développée à partir de la notion d'entropie relative. Une application du domaine culturel menée en collaboration avec la Cité de l'image en mouvement porte sur la présélection de films d'animation. Le système de fusion développé combine des évaluations de nature symbolique ordinale portant sur 4 critères (scénario, esthétique,...) par l intermédiaire d'un opérateur de type moyenne généralisée. Deux plates-formes logicielles et matérielles ont été mises en place et validées lors de campagnes d expérimentation chez les partenaires.Information fusion systems have been widely used in many applications these last years in order to improve decision-making. Some applications are quite complex and require a cooperation between both the information fusion system and human experts who may have important and relevant knowledge on these applications. During the cooperation proposed in this thesis, experts provides reference situations while the system gives them information about the fusion mechanisms through dependencies between the information fusion system's inputs. This cooperation has been applied successfully on two applications. The first industrial application, in collaboration with Schneider Electric, concerns the quality evaluation of composite material parts based on 3D-tomographic images. The Choquet Integral is used as the fusion operator taking as inputs several attributes extracted from the 3D-tomographic images. The Choquet Integral parameters have been identified by a new supervised method based on relative entropy that quantifies automatically the dependencies between attributes. The second cultural application, in collaboration with la Cité de l'image en mouvement , concerns the selection of animated films. The proposed fusion system combines ordinal symbolic evaluations on four criteria (Scenario, Aesthetic,...) using a generalized mean operator, Two platforms, including software and hardware parts, have been implemented and validated during several experimentation campaigns with the two partners.CHAMBERY -BU Bourget (730512101) / SudocSudocFranceF

A decision support system for animated film selection based on a multi-criteria aggregation of referees' ordinal preferences

International audienceThis paper presents a decision support system devoted to the selection of films for the International Animated Film Festival organized at Annecy, France, every year. It deals with the representation and aggregation of referees' preferences along predefined criteria in addition to their overall selection point of view. The practical requirements associated with this application (often encountered in social or cultural areas as well) are: a common ordinal scale for the criteria scores, a procedure to deal with inconsistencies between criteria and overall scores, explanation tools of each referee's preference model in order to facilitate the deliberation process and also to argument the selection decision. The processing of referees' preferences is achieved thanks to a recent method which consists in finding a generalized mean aggregation operator representing the preferences of a referee, in a finite ordinal scale context. The method allows to deal with consistency conditions on referees' behaviour in order to highlight the criteria or pair of criteria which are the most influential for each of the referees. All the functionalities have been implemented in an interactive decision software that facilitates a shared selection decision. Results issued from the 2007 selection are presented and analysed from the preference representation and processing point of view