An Aggregating Prediction Model for Management Decision Analysis

Guo, Jianhong; Chang, Che-Jung; Huang, Yingyi; Zhang, Xiaotian

doi:10.1155/2022/6312579

Cited by 2 publications

(3 citation statements)

References 24 publications

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“…In this case, the above formula has two summation formulas obtained by adding them together, and the overfitting phenomenon can be prevented by the combined analysis of both [24].…”

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confidence: 99%

The modernization strategy of constructing teacher-student relationship in the new era of universities

Ruan¹

2023

Applied Mathematics and Nonlinear Sciences

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Teacher-student relationship is the most central relationship in educational activities, and without high-quality teacher-student relationship, there is no high level of educational activities. In the new period of social development, the outstanding problems in teacher-student relationship have attracted wide attention of public opinion. This paper takes a full-time comprehensive higher vocational college formed by the merger of several specialized colleges as the target of the study, from which a valid target sample is selected. Based on the idea of SHIFU algorithm and greedy algorithm to construct the teacher-student relationship recognition model, we use XGBoost (eXtreme Gradient Boosting) for optimization. Based on the four types of teacher-student relationships identified, a systematic strategy for building modern teacher-student relationships is structured from three aspects: society, school, and teachers and students. The following data were obtained by applying the proposed strategy to the target institutions: the values of the number of students answering questions and solving problems in the experimental class were 46.88% and 40.99% of the total number of students, respectively, which were 4.87% and 5.56% higher than those in the control class. The value of the number and frequency of cooperative exchanges between teachers and students in the experimental class is 52.76% of the total number and frequency, and the satisfaction rate between teachers and students is 49.57%. And the control class is only 44.16% vs. 39.77%. The number of students completing their homework in the experimental class was 95.82%, and the average assessment score was 64.16, which was higher than that of the control class. The strategy has a modernist philosophical orientation and a practical quality, which can make the teacher-student relationship in the new era present a state of moral clarity, intimacy and harmony.

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“…In this case, the above formula has two summation formulas obtained by adding them together, and the overfitting phenomenon can be prevented by the combined analysis of both [24].…”

Section: ( ) ( ) ( )mentioning

confidence: 99%

The modernization strategy of constructing teacher-student relationship in the new era of universities

Ruan¹

2023

Applied Mathematics and Nonlinear Sciences

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“…Electronic commerce also provides employment opportunities for vulnerable groups, thereby promoting social equity and economic development. In summary, electronic commerce plays a crucial role in modern business [3].…”

Section: Introductionmentioning

confidence: 99%

“…In recent decades, many extensions of the grey model have been developed to improve prediction accuracy. Among these extensions, some studies have focused on the optimization of the modeling parameters [17,18], some have sought better background values [19,20], and some have attempted to construct hybrid grey models [3,21]. In addition, some grey models have improved modeling mechanisms, such as the discrete grey model [22], the fractional-order grey model [23], and the extrapolation-based grey model [24], among others.…”

Section: Introductionmentioning

confidence: 99%

Utilizing a Fractional-Order Grey Model to Predict the Development Trends of China’s Electronic Commerce Service Industry

Guo,

Chang,

Huang

2024

Fractal Fract

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Electronic commerce plays a vital role in the digital age, and the creation of a good electronic commerce ecosystem is crucial to maintaining economic growth. The electronic commerce service industry is a leading indicator of electronic commerce development, and its possible changes imply the future trends and innovation directions of the electronic commerce industry. An accurate grasp of the possible future revenue scale of the electronic commerce service industry can provide decision-making information for government policy formulation. Electronic commerce companies must formulate operational plans based on the latest information to determine strategic directions that are reasonable and consistent with the actual situation. Although there exist many prediction methods, they often fail to produce ideal results when the number of observations is insufficient. The fractional-order grey model is a common method used to deal with small data set prediction problems. This study therefore proposes a new modeling procedure for the fractional-order grey model to predict the revenue scale of China’s electronic commerce service industry. The results of experiments demonstrate that the proposed procedure can yield robust outputs under the condition of small data sets to reduce decision-making risks. Therefore, it can be regarded as a practical small data set analysis tool for managers.

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An Aggregating Prediction Model for Management Decision Analysis

Cited by 2 publications

References 24 publications

The modernization strategy of constructing teacher-student relationship in the new era of universities

The modernization strategy of constructing teacher-student relationship in the new era of universities

Utilizing a Fractional-Order Grey Model to Predict the Development Trends of China’s Electronic Commerce Service Industry

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