Interval Type Interval and Cognitive Uncertain Information in Information Fusion and Decision Making

Abstract More uncertainty can be obtained when real numbers are extended to intervals. The two new concepts proposed in this work are the natural extensions of cognitive interval information and cognitive uncertain information with real numbered values replaced by interval values. Hence, interval ty...

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Bibliographic Details
Main Authors: Le Sheng Jin, Zhen-Song Chen, Ronald R. Yager, Reza Langari
Format: Article
Language:English
Published: Springer 2023-04-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Online Access:https://doi.org/10.1007/s44196-023-00227-4