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

abstract

• AbstractMore 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 type cognitive interval information and interval type cognitive uncertain information with some characteristics, structures, uncertainty degree functions and score functions of them are analyzed. Two special usages of the two uncertain information types in group decision making show that they have much more algorithmic variations, flexibility and applicability than the mere formal extensions or changes.

authors

• Langari, Gholamreza

published proceedings

• INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS

author list (cited authors)

• Jin, L. S., Chen, Z., Yager, R., & Langari, R.

citation count

• 0

complete list of authors

• Jin, Le Sheng||Chen, Zhen-Song||Yager, Ronald RR||Langari, Reza

publication date

• 2023

publisher

• Springer Nature  Publisher

published in

• International Journal of Computational Intelligence Systems  Journal

keywords

• Cognitive Interval Information
• Cognitive Uncertain Information
• Decision Making
• Group Decision Making
• Information Fusion
• Uncertain Information

Digital Object Identifier (DOI)

• 10.1007/s44196-023-00227-4

start page

• 60

volume

• 16

issue

• 1

URL

• http://dx.doi.org/10.1007/s44196-023-00227-4