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.2016.07.014Additional 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.