Fuzzy Dempster-Shafer Modelling and Decision Rules

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.
Liste complète des métadonnées

Cited literature [17 references]  Display  Hide  Download

https://hal.inria.fr/hal-01637462
Contributor : Hal Ifip <>
Submitted on : Friday, November 17, 2017 - 3:43:31 PM
Last modification on : Saturday, November 18, 2017 - 1:16:37 AM
Document(s) archivé(s) le : Sunday, February 18, 2018 - 2:51:40 PM

File

419526_1_En_46_Chapter.pdf
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Collections

Citation

Zenon Sosnowski, Jarosław Walijewski. Fuzzy Dempster-Shafer Modelling and Decision Rules. 15th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM), Sep 2016, Vilnius, Lithuania. pp.516-529, ⟨10.1007/978-3-319-45378-1_46⟩. ⟨hal-01637462⟩

Share

Metrics

Record views

82

Files downloads

19