Skip to main content
Conference ProceedingsOPEN ACCESS

Fuzzy Dempster-Shafer modelling and decision rules

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2016) 9842 LNCS 516-529
DOI: 10.1007/978-3-319-45378-1_46
0Citations
Citations of this article
3Readers
Mendeley users who have this article in their library.

This article is free to access.

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.

Author supplied keywords

Cite

CITATION STYLE

APA

Sosnowski, Z. A., & Walijewski, J. S. (2016). Fuzzy Dempster-Shafer modelling and decision rules. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9842 LNCS, pp. 516–529). Springer Verlag. https://doi.org/10.1007/978-3-319-45378-1_46

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free