Grey Relational Analysis Method for Probabilistic Double Hierarchy Linguistic Multiple Attribute Group Decision Making and Its Application to College Tennis Classroom Teaching Effect Evaluation

Wang, Lihua; Li, Huiming; Zhang, Jianpeng; Yang, Jian

doi:10.1155/2022/7419496

Cited by 6 publications

(2 citation statements)

References 75 publications

(79 reference statements)

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“…With the development of educational technology and changes in social needs, the quality of student training has become increasingly prominent [1][2][3][4][5]. Classroom teaching is the basic form of teaching in colleges and universities.…”

Section: Introductionmentioning

confidence: 99%

Classroom Teaching Decision-Making Optimization for Students’ Personalized Learning Needs

Li¹

2023

Int. J. Emerg. Technol. Learn.

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Classroom teaching is the basic form of teaching in colleges and universities. Teachers need to constantly optimize classroom teaching decision-making to adapt to the ever-changing educational environment. In order to improve the quality of teaching, stimulate students' potential, and promote students' all-round development, it is necessary to fully consider the personalized needs of students in classroom teaching and provide more suitable teaching content and methods for them. To this end, this article takes the accounting major in higher vocational colleges as an example, and conducts a study on the optimization of classroom teaching decision-making for students' personalized learning needs. It introduces the psychological curve function based on expected performance and current performance to measure the satisfaction degree of students' personalized learning needs, and as an evaluation of whether students' personalized learning needs meet expectations, elaborates on the calculation method of expected performance and current performance of personalized learning. A multi-objective decision-making model for classroom teaching is constructed to achieve the three optimization objectives of maximizing the quality of classroom teaching, maximizing the attention of students' personalized learning needs, and maximizing students' dissatisfaction, and the solution method of the model is given. Experimental results verify the effectiveness of the proposed algorithm and the constructed model.

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Section: Introductionmentioning

confidence: 99%

Classroom Teaching Decision-Making Optimization for Students’ Personalized Learning Needs

Li¹

2023

Int. J. Emerg. Technol. Learn.

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“…This article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. This investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process:…”

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confidence: 99%

Retracted: Grey Relational Analysis Method for Probabilistic Double Hierarchy Linguistic Multiple Attribute Group Decision Making and Its Application to College Tennis Classroom Teaching Effect Evaluation

Engineering¹

2023

Mathematical Problems in Engineering

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Probabilistic double hierarchy linguistic MADM for location selection of new energy electric vehicle charging stations based on the MSM operators

Lei

Cai

Wei

et al. 2023

IFS

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The emergence of new energy electric vehicles (NEEV) can effectively reduce vehicle fuel consumption and alleviate the contradiction between fuel supply and demand. It has made great contributions to improving the atmospheric environment and promoting the development of environmental protection. However, the insufficient number of new energy electric vehicle charging stations (NEEVCSs) and unreasonable coverage areas have become obstacles to the large-scale promotion of new energy electric vehicles. Therefore, we build a multi-attribute decision making (MADM) model based on probabilistic double hierarchy linguistic weight Maclaurin symmetric mean (PDHLWMSM) operator and a MADM model based on probabilistic double hierarchy linguistic weight power Maclaurin symmetric mean (PDHLWPMSM) operator to select the best charging station construction point from multiple alternative sites. In addition, the model constructed in this paper is compared with the existing MADM models to verify the scientificity of the model proposed in this paper.

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Grey Relational Analysis Method for Probabilistic Double Hierarchy Linguistic Multiple Attribute Group Decision Making and Its Application to College Tennis Classroom Teaching Effect Evaluation

Cited by 6 publications

References 75 publications

Classroom Teaching Decision-Making Optimization for Students’ Personalized Learning Needs

Classroom Teaching Decision-Making Optimization for Students’ Personalized Learning Needs

Retracted: Grey Relational Analysis Method for Probabilistic Double Hierarchy Linguistic Multiple Attribute Group Decision Making and Its Application to College Tennis Classroom Teaching Effect Evaluation

Probabilistic double hierarchy linguistic MADM for location selection of new energy electric vehicle charging stations based on the MSM operators

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