An Uncertain and Preference Evaluation Model with Basic Uncertain Information in Educational Management
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 evaluatio...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
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Springer
2020-11-01
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Series: | International Journal of Computational Intelligence Systems |
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Online Access: | https://www.atlantis-press.com/article/125946342/view |
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author | Cheng Zhu Er Zi Zhang Zhen Wang Ronald R. Yager Zhi Song Chen Le Sheng Jin Zhen-Song Chen |
author_facet | Cheng Zhu Er Zi Zhang Zhen Wang Ronald R. Yager Zhi Song Chen Le Sheng Jin Zhen-Song Chen |
author_sort | Cheng Zhu |
collection | DOAJ |
description | 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. |
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id | doaj.art-a0d1b6f1fe0040639b120b00be34875b |
institution | Directory Open Access Journal |
issn | 1875-6883 |
language | English |
last_indexed | 2024-12-11T21:25:04Z |
publishDate | 2020-11-01 |
publisher | Springer |
record_format | Article |
series | International Journal of Computational Intelligence Systems |
spelling | doaj.art-a0d1b6f1fe0040639b120b00be34875b2022-12-22T00:50:21ZengSpringerInternational Journal of Computational Intelligence Systems1875-68832020-11-0114110.2991/ijcis.d.201109.002An Uncertain and Preference Evaluation Model with Basic Uncertain Information in Educational ManagementCheng ZhuEr Zi ZhangZhen WangRonald R. YagerZhi Song ChenLe Sheng JinZhen-Song ChenMost 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.https://www.atlantis-press.com/article/125946342/viewAggregation operatorsBasic Uncertain InformationEducational evaluation and managementInformation fusionMulti-criteria decision-makingOrdered weighted averaging operators |
spellingShingle | Cheng Zhu Er Zi Zhang Zhen Wang Ronald R. Yager Zhi Song Chen Le Sheng Jin Zhen-Song Chen An Uncertain and Preference Evaluation Model with Basic Uncertain Information in Educational Management International Journal of Computational Intelligence Systems Aggregation operators Basic Uncertain Information Educational evaluation and management Information fusion Multi-criteria decision-making Ordered weighted averaging operators |
title | An Uncertain and Preference Evaluation Model with Basic Uncertain Information in Educational Management |
title_full | An Uncertain and Preference Evaluation Model with Basic Uncertain Information in Educational Management |
title_fullStr | An Uncertain and Preference Evaluation Model with Basic Uncertain Information in Educational Management |
title_full_unstemmed | An Uncertain and Preference Evaluation Model with Basic Uncertain Information in Educational Management |
title_short | An Uncertain and Preference Evaluation Model with Basic Uncertain Information in Educational Management |
title_sort | uncertain and preference evaluation model with basic uncertain information in educational management |
topic | Aggregation operators Basic Uncertain Information Educational evaluation and management Information fusion Multi-criteria decision-making Ordered weighted averaging operators |
url | https://www.atlantis-press.com/article/125946342/view |
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