A Complex Gaussian Fuzzy Numbers-Based Multisource Information Fusion for Pattern Classification-Reference-Cited by-同舟云学术

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A Complex Gaussian Fuzzy Numbers-Based Multisource Information Fusion for Pattern Classification

Published:2024-05 Issue:5 Volume:32 Page:3247-3259
ISSN:1063-6706
Container-title:IEEE Transactions on Fuzzy Systems
language:
Short-container-title:IEEE Trans. Fuzzy Syst.

Author:

Zhang Shengjia¹,Yin Mingrui²,Xiao Fuyuan¹^ORCID,Cao Zehong³^ORCID,Pelusi Danilo⁴^ORCID

Affiliation:

1. School of Big Data and Software Engineering, Chongqing University, Chongqing, China

2. College of Computer Science and Technology, Zhejiang University, Hangzhou, China

3. STEM, Mawson Lakes Campus, University of South Australia, Adelaide, SA, Australia

4. Communication Sciences, University of Teramo, Teramo, Italy

Funder

National Natural Science Foundation of China

Chongqing Talents: Exceptional Young Talents Project

Natural Science Foundation of Chongqing, China

Chongqing Overseas Scholars Innovation Program

Fundamental Research Funds for the Central Universities

Dr. Cao's Australian Research Council (ARC) DECRA Fellowship

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/91/10517720/10472683.pdf?arnumber=10472683

Reference62 articles.

1. Multi-channel EEG recordings during a sustained-attention driving task

2. Consistency- and Consensus-Based Group Decision-Making Method With Incomplete Probabilistic Linguistic Preference Relations

3. An adaptive evidence combination method for decision analysis under uncertainty

4. A novel hybrid adaptive Kriging and water cycle algorithm for reliability-based design and optimization strategy: Application in offshore wind turbine monopile

5. Intuitionistic Fuzzy Analytic Network Process

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