Abstract
Multiple-criteria decision analysis methods are widely used as tools supporting a decision problem. The article presents the taxonomy of the methods, which takes into consideration the most essential characteristics. This taxonomy, in the conceptualization process, was written by means of description logic and then it was implemented in the OWL language in the form of ontology representing field knowledge in the scope of MCDA methods. The research also considers the ontology verification prepared with the use of competency questions.
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Acknowledgments
The work was partially supported by European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement no 316097 [ENGINE] and by the National Science Centre, the decision no. DEC-2013/09/B/ST6/02317.
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Wątróbski, J., Jankowski, J. (2016). An Ontology-Based Knowledge Representation of MCDA Methods. In: Nguyen, N.T., Trawiński, B., Fujita, H., Hong, TP. (eds) Intelligent Information and Database Systems. ACIIDS 2016. Lecture Notes in Computer Science(), vol 9621. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49381-6_6
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