Abstract
In the era of enhancing the quality of education, teacher quality, as the core factor affecting the quality of education, has received unprecedented attention in the field of education. The monitoring on teacher quality is the basis of fully understanding and effectively improving the quality of teachers in compulsory education within the county. Comprehensive and systematic study on teacher quality control in compulsory education within the county is the key to improve the teacher quality of it as well as improve and complement research in related fields. And in stark contrast to the importance of the problem, there is no in-depth and systematic result on the monitoring on teacher quality within the county which becomes a matter of concern in current research in the field of education issues. And the management quality evaluation of teacher education is frequently viewed as the multiple attribute decision-making (MADM) issue. An extended VIKOR model is established to provide a new approach to solve the management quality evaluation of teacher education. The VIKOR method with probabilistic hesitant fuzzy information is applied to rank the optional solutions. Lastly, a numerical example about management quality evaluation of teacher education is illustrated to test the newly proposed method’s practicability.
Highlights
In 1965, Zadeh [1] firstly defined novel fuzzy sets (FSs) to cope with information in the fuzzy new domain [2,3,4,5]
There are no studies for the VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method under probabilistic hesitant fuzzy (PHF) environment. us, we extend the VIKOR method to probabilistic hesitant fuzzy (PHF) environment to deal with the flexible and complicated decision-making circumstance. ough the probabilistic hesitant fuzzy sets (PHFs)-VIKOR model has been structured by Krishankumar et al [45], we have some details changed in this paper to get more accruable selection. e following is the innovation of this paper: (1) a novel PHF-VIKOR method is proposed; (2) the extended VIKOR method is developed in the probabilistic hesitant fuzzy environment; (3) the normalization process of the original data has adapted the latest method to verify the precision; (4) the sensitivity analysis and comparison analysis is given with other existing models
We propose a new PHF-VIKOR model for management quality evaluation of teacher education with probabilistic hesitant fuzzy information
Summary
In 1965, Zadeh [1] firstly defined novel fuzzy sets (FSs) to cope with information in the fuzzy new domain [2,3,4,5]. Iakovidis and Papageorgiou [28] defined the cognitive maps for medical decision-making under IFSs. Zhang et al [29] built the GRA method based on cumulative prospect theory for intuitionistic fuzzy MAGDM. There are no studies for the VIKOR method under probabilistic hesitant fuzzy (PHF) environment. Us, we extend the VIKOR method to probabilistic hesitant fuzzy (PHF) environment to deal with the flexible and complicated decision-making circumstance. E following is the innovation of this paper: (1) a novel PHF-VIKOR method is proposed; (2) the extended VIKOR method is developed in the probabilistic hesitant fuzzy environment; (3) the normalization process of the original data has adapted the latest method to verify the precision; (4) the sensitivity analysis and comparison analysis is given with other existing models.
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