An Uncertain and Preference Evaluation Model with Basic Uncertain Information in Educational Management
| Autor: | Zhi Song Chen, Zhen-Song Chen, Ronald R. Yager, Cheng Zhu, Er Zi Zhang, Zhen Wang, Le Sheng Jin |
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| Rok vydání: | 2020 |
| Předmět: |
Basic Uncertain Information
Knowledge management General Computer Science business.industry QA75.5-76.95 Ordered weighted averaging operators Preference Aggregation operators Computational Mathematics Information fusion Multi-criteria decision-making Electronic computers. Computer science Educational evaluation and management Educational management business Psychology |
| Zdroj: | International Journal of Computational Intelligence Systems, Vol 14, Iss 1 (2020) |
| ISSN: | 1875-6883 |
| DOI: | 10.2991/ijcis.d.201109.002 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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