期刊
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
卷 85, 期 -, 页码 754-764出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.engappai.2019.08.005
关键词
Z-number; Knowledge perception; Dempster-Shafer evidence theory; Human thinking simulation; Data fusion; Reliability
类别
资金
- Northwest AAMP
- F University, China [Z109021812]
- National College Students Innovation and Entrepreneurship Training Program, China [201910712081]
- China Scholarship Council
Z-number, combined with constraint and reliability of the information, is an effective frame to simulate the thinking of humans. How to derive knowledge of Z-numbers, especially from the objective data may become a fascinating and open issue. In this paper, a method of deriving knowledge of Z-numbers from the perspective of Dempster-Shafer theory is proposed. The proposed method considers the Z-number generating from objective and subjective data using Dempster-Shafer theory. Some numerical examples and experimental simulations are used to illustrate the effectiveness of the proposed methodology.
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