Evaluating the quality of simulation teaching in Fundamental Nursing Curriculum: AHP-Fuzzy comprehensive evaluation

Yang, Jianhua; Shen, Liang; Jin, Xingming; Hou, Luoya; Shang, Shaomei; Yan, Zhang

doi:10.1016/j.nedt.2019.03.012

Cited by 52 publications

(33 citation statements)

References 19 publications

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“…In this section, a comparative analysis with other teaching quality evaluation approaches is conducted to validate the effectiveness of the proposed q ‐ROF‐MABAC approach. The same illustrative example is solved by the neutrosophic reducible weighted (NRW) method, 2 the interval 2‐tuple linguistic TOPSIS (ITL‐TOPSIS) method, 49 the fuzzy comprehensive evaluation (FCE) method, 42 and the q ‐ROF‐combinative distance based assessment (CODAS) method 19 . Figure 2 displays the ranking results of the seven universities derived from these approaches.…”

Section: Illustrative Examplementioning

confidence: 99%

“…Peng and Dai 19 proposed two algorithms to evaluate classroom teaching quality by combinative distance‐based assessment and multiparametric similarity measure under q ‐rung orthopair fuzzy environment. Yang et al 42 used fuzzy comprehensive evaluation method to evaluate the quality of simulation teaching in fundamental nursing curriculum. Chen et al 43 developed a novel model on the basis of fuzzy analytic hierarchy process (AHP) and fuzzy comprehensive evaluation method for teaching performance evaluation.…”

Section: Literature Reviewmentioning

confidence: 99%

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Undergraduate teaching audit and evaluation using an extended MABAC method under q ‐rung orthopair fuzzy environment

Gong

Luo

et al. 2020

Int J Intell Syst

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Undergraduate teaching audit and evaluation (UTAE) is a new type of evaluation pattern, which is extremely important for a university to improve its quality assurance system and enhance teaching quality. Selecting an optimal university for benchmarking through UTAE to promote the quality of teaching can be regarded as a complex multicriteria decision making (MCDM) problem. Furthermore, in the process of UTAE, experts' evaluations over the teaching quality of universities are often imprecise and fuzzy due to the subjective nature of human thinking. In this paper, we propose a new UTAE approach based on q-rung orthopair fuzzy sets and the multiattribute border approximation area comparison (MABAC) method for evaluating and selecting the best university for benchmarking. The introduced method deals with the linguistic assessments given by experts by using q-ROFSs, assigns the weights of audit elements based on the indifference threshold-based attribute ratio analysis method, and acquires the ranking of universities with an extended MABAC method. The feasibility and effectiveness of the proposed q-rung orthopair fuzzy MABAC method is demonstrated through a realistic UTAE example. Results show that the UTAE method being proposed is valid and practical for UTAE.

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Section: Illustrative Examplementioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Undergraduate teaching audit and evaluation using an extended MABAC method under q ‐rung orthopair fuzzy environment

Gong

Luo

et al. 2020

Int J Intell Syst

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“…In terms of the research on comprehensive quality evaluation, both the domestic and foreign research fields are quite active. As early as 1864, British scholars had designed a "Homework Scale" as a reference for teachers to assess the performance of students in various subjects [1]; after that, various new evaluation theories and models were proposed one after another, such as the behavior goal evaluation model, the CIPP model, and the goal free model, etc. [2].…”

Section: Introductionmentioning

confidence: 99%

Application of Fuzzy Evaluation in Comprehensive Quality Evaluation of Higher Education Students

Lü¹,

Jia²,

Zuo³

2021

Int. J. Emerg. Technol. Learn.

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Scientific and reasonable evaluation of the comprehensive quality of higher education students provides a guarantee for the pertinent development of quality education in colleges, and offers an aid for students to determine goals and directions of development. Therefore, this paper first constructs an evaluation index system (EIS) for the comprehensive quality of higher education students, and then builds up an evaluation model for that quality based on fuzzy comprehensive evaluation (FCE). The FCE algorithm was designed in details, and applied to a real example. The application results show that the FCE can scientifically evaluate the comprehensive quality of the students from multiple aspects and levels. The research overcomes the difficulty in the comprehensive quality evaluation of college students, and enriches the theoretical and practical results in this field.

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“…The AHP-fuzzy comprehensive evaluation method uses the Analytic Hierarchy Process (AHP) to obtain the weight vector of each indicator 16 and fuzzy mathematics to calculate the comprehensive evaluation index, transforming the multi-indicator decision problem into a single indicator decision problem 17 . It adopts the membership degree theory to assess its level with the characteristics of clear results and a strong system, providing a powerful basis for the combination of qualitative and quantitative decision-making 18 .…”

Section: Introductionmentioning

confidence: 99%

Experimental Study on the Characteristics of Ultrafine Grinding of Potassium-bearing Shale and the Feasibility of Roasting Pre-cracking

Zhu¹,

He²,

G³

2021

Preprint

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As potassium-bearing shale is still being developed as a potential alternative to potash, the first step to improve its utilisation is to reduce its particle size. This paper explores whether roasting pre-cracked potassium-bearing shale can improve the quality of ultra-fine crushing products. By analysing the particle size distribution and the fractal dimension of the particle size distribution, the results for 1 h and 2 h roasting pre-cracking experiments were found to be contradictory. AHP-fuzzy comprehensive evaluation of the three indicators of product quality and quantity was used, resulting in a unique indicator. Roasting pre-cracking for 2 h was found to have a facilitating effect, with the average of the three fuzzy comprehensive evaluation values increasing from 0.71 to 0.78. The great difference in cost outlay suggests that the technique is not suitable for industrial applications. Subsequently, two groups of microwave pretreatment experiments were carried out but led to unsatisfactory results in which microwave pretreatment was not conducive to the ultrafine grinding of potassium-bearing shale.

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Evaluating the quality of simulation teaching in Fundamental Nursing Curriculum: AHP-Fuzzy comprehensive evaluation

Cited by 52 publications

References 19 publications

Undergraduate teaching audit and evaluation using an extended MABAC method under q ‐rung orthopair fuzzy environment

Undergraduate teaching audit and evaluation using an extended MABAC method under q ‐rung orthopair fuzzy environment

Application of Fuzzy Evaluation in Comprehensive Quality Evaluation of Higher Education Students

Experimental Study on the Characteristics of Ultrafine Grinding of Potassium-bearing Shale and the Feasibility of Roasting Pre-cracking

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