A new base basic probability assignment approach for conflict data fusion in the evidence theory

• Published in: Applied intelligence (Dordrecht, Netherlands) Vol. 51; no. 2; pp. 1056 - 1068
• Main Authors: Jing, Ming, Tang, Yongchuan
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.02.2021; Springer Nature B.V
• Subjects: Artificial Intelligence; Computer Science; Data integration; Data processing; Machine learning; Machines; Manufacturing; Mechanical Engineering; Probability theory; Processes; Conflicting data fusion; Basic probability assignment; Conflict management; Dempster-Shafer evidencve theory

Dempster-Shafer evidence theory (D-S theory) is applied to process uncertain information in different scenarios. However, traditional Dempster combination rule may produce counterintuitive results while dealing with highly conflicting data. Inspired by a perspective of constructing base belief funct...