Modeling decision in the dempster-shafer belief structure uncertainty

Authors:
Gia Sirbiladze;Bezhan Ghvaberidze;Pridon Dvalishvili
Affiliations:
Department of Computer Sciences, Faculty of Exact and Natural Sciences, I. Javakhishvili Tbilisi State University, Tbilisi, Georgia;Department of Computer Sciences, Faculty of Exact and Natural Sciences, I. Javakhishvili Tbilisi State University, Tbilisi, Georgia;Free University of Tbilisi, Business school ESM, Tbilisi, Georgia
Venue:
ACMOS'09 Proceedings of the 11th WSEAS international conference on Automatic control, modelling and simulation
Year:
2009

Citing 4
Cited 0

Advances in the Dempster-Shafer theory of evidence

Advances in the Dempster-Shafer theory of evidence
Weighted fuzzy averages in fuzzy environment: part I. Insufficient expert data and fuzzy averages

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Restored fuzzy measures in expert decision-making

Information Sciences: an International Journal
On the entropy of fuzzy measures

IEEE Transactions on Fuzzy Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

A general model for decision problems is presented by a basic probability assignment of a body of evidence, which gives the information on distribution of states, situations or factors in the form of Dempster-Shafer belief structure. The rule for decision making is constructed from two steps by means of a composition of two functions -Dempster's lower and upper expected values. Shapley information entropy decreasing principal is received for the information inclusion relation constructed in the framework of the Dempster-Shafer belief structure.