Published October 2016 | Version v1
Journal article

Deng entropy

Creators

Description

Dempster Shafer evidence theory has been widely used in many applications due to its advantages to handle uncertainty. However, how to measure uncertainty in evidence theory is still an open issue. The main contribution of this paper is that a new entropy, named as Deng entropy, is presented to measure the uncertainty of a basic probability assignment (BPA). Deng entropy is the generalization of Shannon entropy since the value of Deng entropy is identical to that of Shannon entropy when the BPA defines a probability measure. Numerical examples are illustrated to show the efficiency of Deng entropy.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.chaos.2016.07.014

Additional details

Identifiers

DOI
10.1016/j.chaos.2016.07.014;
PII
S0960-0779(16)30236-3;

Publishing Information

Journal Title
Chaos, Solitons and Fractals
Journal Volume
91
Journal Page Range
p. 549-553
ISSN
0960-0779

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
48064812
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Descriptors DEI
DATA COVARIANCES; EFFICIENCY; ENTROPY; PROBABILITY
Descriptors DEC
PHYSICAL PROPERTIES; THERMODYNAMIC PROPERTIES

Optional Information

Copyright
Copyright (c) 2016 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.