Teaching Performance Evaluation Based on the Proportional Hesitant Fuzzy Linguistic Prioritized Choquet Aggregation Operator

Authors

Lei Wang¹, Lili Rong^{2, 3, *,} , Fei Teng², Peide Liu^2,

¹School of International Education, Shandong University of Finance and Economics, Jinan Shandong, 250014, China

²School of Management Science and Engineering, Shandong University of Finance and Economics, Jinan Shandong, 250014, China

³School of Science and Technology, Shandong TV University, Jinan Shandong, 250014, China

^*Corresponding author. Email: ronglili@126.com

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 PHFLP_rCA operator is developed and its properties are discussed. Then based on the PHFLP_rCA 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  -