Abstract : In this study, we discuss the use of Dempster-Shafer theory as a well-rounded algorithmic vehicle in the construction of fuzzy decision rules. The concept of fuzzy granulation realized via fuzzy clustering is aimed at the discretization of continuous attributes. Detailed experimental studies are presented concerning well-known medical data sets available on the Web.
Khalid Saeed; Władysław Homenda. 15th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM), Sep 2016, Vilnius, Lithuania. Springer International Publishing, Lecture Notes in Computer Science, LNCS-9842, pp.516-529, 2016, Computer Information Systems and Industrial Management. 〈10.1007/978-3-319-45378-1_46〉
https://hal.inria.fr/hal-01637462
Contributeur : Hal Ifip
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Soumis le : vendredi 17 novembre 2017 - 15:43:31
Dernière modification le : samedi 18 novembre 2017 - 01:16:37
Document(s) archivé(s) le : dimanche 18 février 2018 - 14:51:40
Zenon Sosnowski, Jarosław Walijewski. Fuzzy Dempster-Shafer Modelling and Decision Rules. Khalid Saeed; Władysław Homenda. 15th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM), Sep 2016, Vilnius, Lithuania. Springer International Publishing, Lecture Notes in Computer Science, LNCS-9842, pp.516-529, 2016, Computer Information Systems and Industrial Management. 〈10.1007/978-3-319-45378-1_46〉. 〈hal-01637462〉
