Affiliations: [a]
Business School, Nanjing Normal University, Nanjing, China
| [b] Faculty of Civil Engineering, Slovak University of Technology, Radlinského 11, Sk-810 05 Bratislava, Slovakia
| [c]
Machine Intelligence Institute, Iona College, New Rochelle, NY, USA
| [d]
Department of Industrial Engineering, Munzur University, Tunceli, Turkey
Correspondence:
[*]
Corresponding author. LeSheng Jin, ph.D. Business School, Nanjing Normal University, Nanjing, China. E-mail: [email protected].
Abstract: The recently proposed basic uncertain information can directly present numerical uncertainties for given real values, but it cannot handle given interval values which themselves also have uncertainties. Against this background, this work proposes the concept of interval basic uncertain information which serves as a generalization of basic uncertain information and involves two types of uncertainties. We analyze some basic operations, weighted arithmetic mean and preference transformation for interval basic uncertain information. The Rule-based decisions and the comprehensive certainty of interval basic uncertain information are also discussed. An illustrative example of multi-source multi-criteria evaluation under interval basic uncertain information environment is presented.
