Fuzzy Analytical Hierarchy Process and Fuzzy Comprehensive Evaluation Method Applied to Assess and Improve Human and Organizational Factors Maturity in Mining Industry

Karim, Yousra; Cherkaoui, Abdelghani

doi:10.25046/aj060210

Cited by 6 publications

(3 citation statements)

References 20 publications

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“…In order to clarify the objectives of teaching quality evaluation under the blended teaching mode, improve evaluation validity, promote teaching improvement, and support decision-making, in order to better promote the development of blended teaching mode and improve the quality of blended teaching. This article adopts the Analytic Hierarchy Process [10][11][12] to establish a teaching quality evaluation index system under the blended teaching mode, as shown in Figure 1.…”

Section: Design Of Teaching Quality Evaluation Methods Under Hybrid T...mentioning

confidence: 99%

Unveiling Hybrid Teaching Efficacy: An Association Rule-Based Approach to Evaluating Quality

Chourasiya,

Dwivedi

2024

Preprint

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This paper presents a teaching quality evaluation method based on association rules, using the Analytic Hierarchy Process (AHP) and the Apriori algorithm to improve the effectiveness of the evaluation results of teaching quality in blended learning mode. The experimental results show that this method has a good teaching quality evaluation effect in the mixed teaching mode, with a high average coverage rate of quality evaluation indicators and correlation degree of quality evaluation model. These experimental results imply that the method employed in the study is not only thorough in evaluating various quality indicators but also efficient in terms of processing time. However, it's important to consider the specific indicators and methodologies used in the study, as well as the context in which the evaluation was conducted, to fully understand the implications and generalizability of the findings.

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Section: Design Of Teaching Quality Evaluation Methods Under Hybrid T...mentioning

confidence: 99%

Unveiling Hybrid Teaching Efficacy: An Association Rule-Based Approach to Evaluating Quality

Chourasiya,

Dwivedi

2024

Preprint

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“…One of the primary objectives of delivering high-quality cloud-based service of publics is to meet the requirements of citizens [24]. Accurate requirement organization can be elevated by analyzing the direction and objectives of service of public supply to enhance the science decision-making capacity of cloud-based government services and the improvement of urban allocation of resources effectiveness, thereby ensuring the reliability of cloud-based government services and making a contribution to meeting government service requires [25]. As a consequence, digital perfectly matched technology and machine intelligence have evolved from traditional…”

Section: Accurate Reply To Cloud-based Service Of Public Requirementsmentioning

confidence: 99%

An accurate management method of public services based on big data and cloud computing

2023

J Cloud Comp

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Information technology and resource grouping are developing rapidly thanks to governmental policies. Large-scale data mining is a hugely practical and scientific zone of “digital gold”. This is not only a modern-day problem, but it also necessitates the rapid growth of service of publics. As a result, the benefits of information can be fully realized, service efficiency improved, and the service gap closed. Cloud computing has gained popularity due to its quick accounting, limited memory requirements, and efficient resource distribution. As a result, big data was employed to analyze the existing state of cloud-based service of publics in this paper, and the fuzzy evaluation process was used to analyze the accurate monitoring. Eventually, service of public organization was improved, and the path to the accurate organization of the entire service of public process initiated by big data was developed. The design value and data entropy of cloud-based services of public were growing exponentially, according to fuzzy comprehensive assessment; the value of average of the design value of accurate organization of cloud-based government services was around 4.35, and the average importance of data entropy was around 0.98. Furthermore, the organization control and detailed efficiency of big data-driven precision organization of social public social welfare outperformed traditional precision monitoring of cloud-based service of publics; suggesting that the effects were 7% higher, and overall capacity was 9% higher than the compared techniques.

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“…By integrating digital systems and using big data processing technology to obtain big data, it can accurately manage public service needs. Among them, data integration technology is to use digital systems to integrate rich data resources in various fields of public services, so as to realize the interaction between government and society [20]. The third is to establish a dynamic public service demand system.…”

Section: ) Accurately Controlled Public Service Needsmentioning

confidence: 99%

Accurate Management of Public Services Based on Big Data

2022

Preprint

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With the support of national policies, information technology and resource aggregation are increasing day by day. Large-scale data mining is a large scientific and practical area of "digital gold". This is not only a challenge of the times, but also requires vigorous development of public services. Therefore, this paper was driven by big data to analyze the current situation of public services, and then used the fuzzy evaluation method to analyze the precise management. Finally, the public service management was optimized, and the realization path of the accurate management of the whole process of public service driven by big data was designed. Through fuzzy comprehensive evaluation, it was known that the model value and information entropy of public services were constantly increasing; the average value of the model value of precise management of public services was about 4.35, and the average value of information entropy was about 0.98. Moreover, the management efficiency and comprehensive efficiency of precision management of social public welfare activities based on big data were better than that of traditional precision management of public services; the management benefits were 7% higher than the traditional ones, and the overall efficiency was 9% higher than the traditional ones.

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Fuzzy Analytical Hierarchy Process and Fuzzy Comprehensive Evaluation Method Applied to Assess and Improve Human and Organizational Factors Maturity in Mining Industry

Cited by 6 publications

References 20 publications

Unveiling Hybrid Teaching Efficacy: An Association Rule-Based Approach to Evaluating Quality

Unveiling Hybrid Teaching Efficacy: An Association Rule-Based Approach to Evaluating Quality

An accurate management method of public services based on big data and cloud computing

Accurate Management of Public Services Based on Big Data

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