Semantic Multi-Criteria Decision Making SeMCDM
Ghadi Mahmoudi, Christian Müller-Schloer · 2009
Multi-Criteria Decision Making promises important development in the capabilities of intelligent autonomous and adaptive devices. Ontologies and inference engines enable semantic matching between criteria. This paper presents an approach to take benefit from these technologies in distributed autonomous devices. The concept of SeMCDM is based on a MCDM ontology and a MCDM-aware inference engine. An ontology development environment has been extended to support design methods of MCDM. Applications from the era of automotive multimedia systems show the benefits and strength of SeMCDM.