A new belief divergence measure for Dempster–Shafer theory based on belief and plausibility function and its application in multi-source data fusion-Reference-Cited by-同舟云学术

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A new belief divergence measure for Dempster–Shafer theory based on belief and plausibility function and its application in multi-source data fusion

Published:2021-01 Issue: Volume:97 Page:104030
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Wang Hongfei,Deng Xinyang,Jiang Wen,Geng Jie

Funder

National Science and Technology Major Project, China

Equipment Pre-Research Fund

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference59 articles.

1. Aczél, J., Daróczy, J., 1975. On Measures of Information and their Characterizations. New York.

2. Z numbers and type-2 fuzzy sets: A representation result;Aliev;Intell. Autom. Soft Comput.,2018

3. A context-aware data fusion approach for health-iot;Baloch;Int. J. Inf. Technol.,2018

4. Dfiot: Data fusion for internet of things;Boulkaboul;J. Netw. Syst. Manage.,2020

5. Upper and lower probabilities induced by a multivalued mapping;Dempster;Ann. Math. Stat.,1967

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