A belief-rule-based model for information fusion with insufficient multi-sensor data and domain knowledge using evolutionary algorithms with operator recommendations-Reference-Cited by-同舟云学术

A belief-rule-based model for information fusion with insufficient multi-sensor data and domain knowledge using evolutionary algorithms with operator recommendations

Published:2018-04-06 Issue:13 Volume:23 Page:5129-5142
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Zhou Yu,Chang Leilei^ORCID,Qian Bin

Funder

nsfc

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s00500-018-3179-9.pdf

Reference38 articles.

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3. Banerjee TP, Das S (2012) Multi-sensor data fusion using support vector machine for motor fault detection. Inform Sci 217:96–107

4. Bigdeli B, Samadzadegan F, Reinartz P (2014) Feature grouping-based multiple fuzzy classifier system for fusion of hyperspectral and LIDAR data. J Appl Remote Sens 8:1–15

5. Bouchon-Meunier B (2013) Aggregation and fusion of imperfect information. Physica. Springer, Berlin

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