Evaluation of the development level of provinces by grey cluster analysis

Karakoç, Ömer; Es, Hüseyin Avni; Fırat, Seniye Ümit Oktay

doi:10.1016/j.procs.2019.09.036

Cited by 14 publications

(10 citation statements)

References 7 publications

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“…The key to the grey clustering analysis of college English teaching quality is the establishment of grey-whitening weight functions corresponding to the grey class of English teaching quality evaluation indicators. Then, through the calculation of the grey whitening value, the grey class to which it belongs can be further obtained [23][24][25][26]. Different grey classes correspond to different evaluation levels, which can be set in accordance with the specific needs of the English teaching quality evaluation.…”

Section: Grey Clustering Analysis For College English Teaching Qualitymentioning

confidence: 99%

Evaluation of College English Teaching Quality Based on Grey Clustering Analysis

Liu

Chen

Cao

et al. 2021

Int. J. Emerg. Technol. Learn.

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Currently, there are two main problems with the evaluation of college English teaching quality: the lack of a complete evaluation system, and the limited quantification of evaluation indices. To solve the problems, this paper sums up the evaluation contents of college English teaching quality, and identifies the factors affecting the teaching quality of college English. On this basis, an improved evaluation system was established for the assessment of college English teaching quality, which is theoretically innovative. Next, grey clustering analysis and entropy weight method were combined into a robust evaluation model for college English teaching quality. This research provides a new and applicable solution to quantification of college English teaching quality.

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Section: Grey Clustering Analysis For College English Teaching Qualitymentioning

confidence: 99%

Evaluation of College English Teaching Quality Based on Grey Clustering Analysis

Liu

Chen

Cao

et al. 2021

Int. J. Emerg. Technol. Learn.

View full text Add to dashboard Cite

show abstract

“…In order to effectively distinguish the teaching quality categories or grades of different evaluation objects, based on the application of gray theory [22][23][24][25][26], this paper adopts the gray clustering analysis method [22][23][24][25][26] to conduct analysis on it. By consulting field experts, scholars and related managers, in this paper, the gray categories of the online teaching quality evaluation of basic education are divided into three forms.…”

Section: Implementation Of the Quality Evaluation Model For The Online Teaching Of Basic Educationmentioning

confidence: 99%

Evaluation of Online Teaching Quality of Basic Education Based on Artificial Intelligence

2020

Int. J. Emerg. Technol. Learn.

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In the age of the Internet, basic education faces several new challenges: the lack of deep integration of artificial intelligence (AI), and the relatively poor quality of online teaching. To cope with these challenges, this paper designs an evaluation method for online teaching quality of basic education in the context of the AI. Firstly, the application of the AI in basic education was analyzed, and the promoting effect of online teaching on basic education was confirmed. On this basis, the entropy weight method and grey clustering analysis were introduced to evaluate the online teaching quality of basic ed-ucation. Based on the proposed model, several strategies were proposed to improve the quality of online teaching in basic education. The research re-sults provide a good reference for the application of online teaching and AI in basic education.

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“…The gray clustering model can effectively solve the problem of a small sample size and poor information. Karakoç [ 17 ] used gray cluster analysis to evaluate the development level of provinces; Wu [ 18 ] proposed a multilevel gray clustering decision method for the synthetic evaluation of operation schemes of natural gas pipelines with inexact data and insufficient information. Regina [ 19 ] proposed a new methodology based on gray clustering which classifies monitoring sites according to their need for nitrogen pollution management when only small amounts of data are available.…”

Section: Introductionmentioning

confidence: 99%

Grading Nursing Care Study in Integrated Medical and Nursing Care Institution Based on Two-Stage Gray Synthetic Clustering Model under Social Network Context

2022

IJERPH

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Establishing a scientific and sustainable grading nursing care evaluation system is the key to realizing the rational distribution of medical and nursing resources in the combined medical and nursing care services. This study establishes a grading nursing care index system for medical and nursing institutions from both medical and nursing aspects, and proposes a grading nursing care evaluation model based on a combination of interval-valued intuitionistic fuzzy entropy and a two- stage gray synthetic clustering model for interval gray number under a social network context. Through case analysis, the proposed method can directly classify the elderly into corresponding grading nursing care grades and realize the precise allocation of medical and nursing resources, which proves the feasibility of the method.

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Evaluation of the development level of provinces by grey cluster analysis

Cited by 14 publications

References 7 publications

Evaluation of College English Teaching Quality Based on Grey Clustering Analysis

Evaluation of College English Teaching Quality Based on Grey Clustering Analysis

Evaluation of Online Teaching Quality of Basic Education Based on Artificial Intelligence

Grading Nursing Care Study in Integrated Medical and Nursing Care Institution Based on Two-Stage Gray Synthetic Clustering Model under Social Network Context

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