Teaching Performance Evaluation Based on the Proportional Hesitant Fuzzy Linguistic Prioritized Choquet Aggregation Operator
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- DOI
- 10.2991/ijcis.d.210112.001How to use a DOI?
- Keywords
- Choquet integral; Proportional hesitant fuzzy linguistic term set; Multi-attribute group decision-making; Prioritized aggregation operators; Teaching performance evaluation
- Abstract
The quality of teaching can be improved by teaching performance evaluation from multiple experts, which is a multiple attribute group decision-making (MAGDM) problem. In this paper, a group decision-making method under proportional hesitant fuzzy linguistic environment is proposed to evaluate teaching performance. Firstly, proportional hesitant fuzzy linguistic term set (PHFLTS) is applied to express the decision makers' (DMs) preferences for teaching performance index. Secondly, the PHFLPrCA operator is developed and its properties are discussed. Then based on the PHFLPrCA operator, a MAGDM method is formulated. Thirdly, the method is applied in teaching performance evaluation of Chinese-foreign cooperative education project. Finally, this method is proved more scientific, objective and accurate by compared with other two methods.
- Copyright
- © 2021 The Authors. Published by Atlantis Press B.V.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).
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TY - JOUR AU - Lei Wang AU - Lili Rong AU - Fei Teng AU - Peide Liu PY - 2021 DA - 2021/01/19 TI - Teaching Performance Evaluation Based on the Proportional Hesitant Fuzzy Linguistic Prioritized Choquet Aggregation Operator JO - International Journal of Computational Intelligence Systems SP - 635 EP - 650 VL - 14 IS - 1 SN - 1875-6883 UR - https://doi.org/10.2991/ijcis.d.210112.001 DO - 10.2991/ijcis.d.210112.001 ID - Wang2021 ER -