Authors:
Georgios Bardis
1
;
Georgios Miaoulis
2
and
Dimitri Plemenos
3
Affiliations:
1
Laboratoire Méthodes et Structures Informatiques – MSI, Faculté des Sciences, Université de Limoges; Technological Education Institute of Athens, France
;
2
Technological Education Institute of Athens, Greece
;
3
Laboratoire Méthodes et Structures Informatiques – MSI, Faculté des Sciences, Université de Limoges, France
Keyword(s):
Machine Learning, Multicriteria Decision Making, User Modeling
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Computational Intelligence
;
Enterprise Information Systems
;
Health Engineering and Technology Applications
;
Human-Computer Interaction
;
Industrial Applications of Artificial Intelligence
;
Methodologies and Methods
;
Neural Network Software and Applications
;
Neural Networks
;
Neurocomputing
;
Neurotechnology, Electronics and Informatics
;
Pattern Recognition
;
Physiological Computing Systems
;
Sensor Networks
;
Signal Processing
;
Soft Computing
;
Strategic Decision Support Systems
;
Theory and Methods
Abstract:
The MultiCAD platform is a system that accepts the declarative description of a scene (e.g. a building) as input and generates the geometric descriptions that comply with the specific description. Its goal is to facilitate the transition from the intuitive hierarchical decomposition of the scene to its concrete geometric representation. The aim of the present work is to provide the existing system with an intelligent module that will capture, store and apply user preferences in order to eventually automate the task of solution selection. A combination of two components based on decision support and artificial intelligence methodologies respectively are currently being implemented. A method is also proposed for the fair and efficient comparison of the results.