Modeling, Optimization, and Robustness Analysis of Evidential Reasoning Rule Under Multidiscernment Framework-Reference-Cited by-同舟云学术

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Modeling, Optimization, and Robustness Analysis of Evidential Reasoning Rule Under Multidiscernment Framework

Published:2023-12 Issue:6 Volume:59 Page:8981-8994
ISSN:0018-9251
Container-title:IEEE Transactions on Aerospace and Electronic Systems
language:
Short-container-title:IEEE Trans. Aerosp. Electron. Syst.

Author:

Tang Shuai-Wen¹^ORCID,Cao You²^ORCID,Jiang Jiang¹^ORCID,Zhou Zhi-Jie³^ORCID,Li Zhi-Gang³^ORCID

Affiliation:

1. College of Systems Engineering, National University of Defense Technology, Changsha, China

2. Control Technology Teaching and Research Office, High-Tech Institute, Qingzhou, Shandong, China

3. College of Automation, Rocket Force University of Engineering, Xi'an, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shandong Province

New Liberal Arts Research and Reform Practice Project

Shaanxi Science and Technology Innovation Team

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Aerospace Engineering

Link

http://xplorestaging.ieee.org/ielx7/7/10353051/10246852.pdf?arnumber=10246852

Reference37 articles.

1. A method for managing evidential reasoning in a hierarchical hypothesis space

2. An evidential reasoning approach for multiple-attribute decision making with uncertainty

3. Inference, Optimization and Analysis of an Evidential Reasoning Rule-based Modeling Approach

4. Evidential reasoning theory and its applications;Zhou;IEEECAA J. Autom. Sin.,2021

5. On the evidential reasoning algorithm for multiple attribute decision analysis under uncertainty

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