DocumentCode :
3428005
Title :
Semantic Multi-Criteria Decision Making SeMCDM
Author :
Mahmoudi, Ghadi ; Müller-Schloer, Christian
fYear :
2009
fDate :
March 30 2009-April 2 2009
Firstpage :
149
Lastpage :
156
Abstract :
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.
Keywords :
decision making; inference mechanisms; multimedia systems; ontologies (artificial intelligence); adaptive devices; automotive multimedia systems; inference engines; intelligent autonomous devices; ontologies; semantic matching; semantic multicriteria decision making; Bridges; Decision making; Decision support systems; Engines; Humans; Kernel; Knowledge representation; Ontologies; Privatization; Rail transportation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational intelligence in miulti-criteria decision-making, 2009. mcdm '09. ieee symposium on
Conference_Location :
Nashville, TN
Print_ISBN :
978-1-4244-2764-2
Type :
conf
DOI :
10.1109/MCDM.2009.4938842
Filename :
4938842
Link To Document :
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