INCLUDING PROBABILISTIC UNCERTAINTY IN FUZZY-LOGIC CONTROLLER MODELING USING DEMPSTER-SHAFER THEORY

Authors
YAGER RR FILEV DP
Citation
Rr. Yager et Dp. Filev, INCLUDING PROBABILISTIC UNCERTAINTY IN FUZZY-LOGIC CONTROLLER MODELING USING DEMPSTER-SHAFER THEORY, IEEE transactions on systems, man, and cybernetics, 25(8), 1995, pp. 1221-1230
Citations number
33
Categorie Soggetti
Controlo Theory & Cybernetics","Computer Science Cybernetics","Engineering, Eletrical & Electronic
Journal title
IEEE transactions on systems, man, and cybernetics → ACNP
ISSN journal
00189472
Volume
25
Issue
8
Year of publication
1995
Pages
1221 - 1230
Database
ISI
SICI code
0018-9472(1995)25:8<1221:IPUIFC>2.0.ZU;2-Q
Abstract
We discuss some basic ideas from the Dempster-Shafer theory of evidenc e. We describe the concept of fuzzy systems modeling used in fuzzy log ic control, We use the Dempster-Shafer framework to provide a machiner y for including randomness in the fuzzy systems modeling process. We s how how to represent additive noise in this combined framework.