Using Z-number to measure the reliability of new information fusion method and its application in pattern recognition-Reference-Cited by-同舟云学术

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Using Z-number to measure the reliability of new information fusion method and its application in pattern recognition

Published:2021-11 Issue: Volume:111 Page:107658
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Tian Ye,Mi Xiangjun,Cui Huizi,Zhang Pengdan,Kang Bingyi

Funder

Chinese Universities Scientific Fund

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

Elsevier BV

Subject

Software

Reference69 articles.

1. Multi-sensor data fusion based on the belief divergence measure of evidences and the belief entropy;Xiao;Inf. Fusion,2019

2. Combination of evidential sensor reports with distance function and belief entropy in fault diagnosis;Dong;Int. J. Comput. Commun. Control,2019

3. Conflict evidence management in fault diagnosis;Yuan;Int. J. Mach. Learn. Cybern.,2019

4. Emergency alternative selection based on an E-IFWA approach;Chen;IEEE Access,2019

5. Neuroscience patient identification using big data and fuzzy logic–an Alzheimer’s disease case study;Munir;Expert Syst. Appl.,2019

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2. A spherical Z-number multi-attribute group decision making model based on the prospect theory and GLDS method;Complex & Intelligent Systems;2024-09-13

3. A new probability adjustment method for combining conflicting evidences: application in classifier combination;Soft Computing;2024-07-24

4. Evaluating the reliability and relative weight of the evidence using approximate evidential mutual information;Engineering Applications of Artificial Intelligence;2024-07

5. Generalized Similarity Measure for Multisensor Information Fusion via Dempster-Shafer Evidence Theory;IEEE Access;2024

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