An Uncertain and Preference Evaluation Model with Basic Uncertain Information in Educational Management

Abstract

Most of the evaluation problems are comprehensive and with ever-increasingly more uncertainties. By quantifying the involved uncertainties, Basic Uncertain Information can both well handle and merge those uncertainties in the input information. This study proposed a two-level comprehensive evaluation model by using some merging techniques which can consider both the original preference information and the bi-polar preference over the information with high certainty degrees. A numerical application in educational evaluation is also proposed to verify the effectiveness and flexibility of the proposed model.

Keywords

• Aggregation operators
• Basic Uncertain Information
• Educational evaluation and management
• Information fusion
• Multi-criteria decision-making
• Ordered weighted averaging operators