• 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