Abstract
Group Decision Making methods are interesting tools that can be used for extracting subjective information from experts that are familiar with an specific topic. Although they are typically used for carrying out an alternatives ranking, a novel approach that can extract information from the experts and store it in a fuzzy ontology is presented in this paper. Thanks to this, it is possible to create a knowledge database using subjective information extracted from experts in the dealt topic. This database can be helpful for other users that are interested in the stored data. The obtained information is stored in a fuzzy ontology due to its capacity of using queries to access the information and because they are able to handle the information in a organized way.
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Morente-Molinera, J.A., Pérez, I.J., Cabrerizo, F.J., Alonso, S., Herrera-Viedma, E. (2018). Using Group Decision Making Methods to Extract Experts Knowledge. In: Kacprzyk, J., Szmidt, E., Zadrożny, S., Atanassov, K., Krawczak, M. (eds) Advances in Fuzzy Logic and Technology 2017. EUSFLAT IWIFSGN 2017 2017. Advances in Intelligent Systems and Computing, vol 642. Springer, Cham. https://doi.org/10.1007/978-3-319-66824-6_50
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DOI: https://doi.org/10.1007/978-3-319-66824-6_50
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