Academic Journal

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

التفاصيل البيبلوغرافية
العنوان: Teaching Performance Evaluation Based on the Proportional Hesitant Fuzzy Linguistic Prioritized Choquet Aggregation Operator
المؤلفون: Lei Wang, Lili Rong, Fei Teng, Peide Liu
المصدر: International Journal of Computational Intelligence Systems, Vol 14, Iss 1 (2021)
بيانات النشر: Springer, 2021.
سنة النشر: 2021
المجموعة: LCC:Electronic computers. Computer science
مصطلحات موضوعية: Choquet integral, Proportional hesitant fuzzy linguistic term set, Multi-attribute group decision-making, Prioritized aggregation operators, Teaching performance evaluation, Electronic computers. Computer science, QA75.5-76.95
الوصف: 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.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1875-6883
Relation: https://www.atlantis-press.com/article/125951265/view; https://doaj.org/toc/1875-6883
DOI: 10.2991/ijcis.d.210112.001
URL الوصول: https://doaj.org/article/14948ebfd10d41408d52c234f61a4a59
رقم الانضمام: edsdoj.14948ebfd10d41408d52c234f61a4a59
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:18756883
DOI:10.2991/ijcis.d.210112.001