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- College English teaching reform and development direction in the internet
era-
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Authors: Wei Liu
Pages: 163 - 174
Abstract: In response to the problems of poor English grades and low learning efficiency among college students, a research method on teaching reform and development direction is proposed in the context of the internet era. Firstly, analyse the current problems in English teaching from multiple perspectives. Secondly, analyse the advantages of online English teaching and identify multiple directions for teaching reform and development, including the application of English film and television resources, strengthening extracurricular knowledge expansion, deepening curriculum reform, exploring efficient teaching models using internet technology, and strengthening the connection between English teaching content and the internet. Finally, the Boltzmann machine model is used to select appropriate teaching reform and development directions for universities based on their own situation. The example analysis results show that after the application of the method in this article, the learning score is always above 90 points, and the learning efficiency is always above 80%.
Keywords: internet era background; English teaching; academic record; internet teaching advantages
Citation: International Journal of Sustainable Development, Vol. 26, No. 3/4 (2023) pp. 163 - 174
PubDate: 2023-10-20T23:20:50-05:00
DOI: 10.1504/IJSD.2023.134421
Issue No: Vol. 26, No. 3/4 (2023)
- Evaluation method of intelligent classroom teaching effect based on fuzzy
set change algorithm-
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Authors: Liya Mo
Pages: 175 - 189
Abstract: In order to solve the problems of low evaluation accuracy, large quantitative error of indicators, and long evaluation time in traditional teaching effect evaluation methods, evaluation method of intelligent classroom teaching effect based on fuzzy set change algorithm was designed for college students' English reading teaching courses. Firstly, determine the evaluation indicators for the effect of English reading teaching for college students in intelligent classrooms. Secondly, the feature vector corresponding to the largest feature of the index is calculated, and the feature vector is quantised. Finally, based on the fuzzy set change algorithm, a fuzzy evaluation matrix is constructed to determine the grade of intelligent classroom teaching quality, construct an intelligent classroom teaching effect evaluation model, and obtain the evaluation results. The experimental results show that using this method can effectively improve the accuracy of intelligent classroom teaching evaluation.
Keywords: intelligent classroom; teaching English reading; evaluation method; weight; fuzzy evaluation model; level 1 evaluation index
Citation: International Journal of Sustainable Development, Vol. 26, No. 3/4 (2023) pp. 175 - 189
PubDate: 2023-10-20T23:20:50-05:00
DOI: 10.1504/IJSD.2023.134412
Issue No: Vol. 26, No. 3/4 (2023)
- Prediction of economic benefits of market digital transformation based on
federal learning algorithm-
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Authors: Lu Zhang, Wanqing Chen, Hengzhi Nie
Pages: 190 - 205
Abstract: In order to solve the problems of low prediction accuracy and long prediction time existing in traditional methods for predicting the economic benefits of market digital transformation, a method for predicting the economic benefits of market digital transformation based on federal learning algorithm is proposed. Obtain the prediction indicators and build a prediction indicator system for the economic benefits of market digital transformation. Pre-process the indicator data using the principal component analysis method, build a sample dataset, build a federal optimisation algorithm using the random gradient descent method, establish a minimum loss function, build a prediction model for the economic benefits of market digital transformation, and output the prediction results. The experimental results show that the prediction accuracy of the proposed method can reach more than 95%, and the prediction time is always kept within 3 s, with good prediction effect and efficiency.
Keywords: federated learning algorithm; digital transformation of the market; economic performance; principal component analysis; random gradient descent method
Citation: International Journal of Sustainable Development, Vol. 26, No. 3/4 (2023) pp. 190 - 205
PubDate: 2023-10-20T23:20:50-05:00
DOI: 10.1504/IJSD.2023.134419
Issue No: Vol. 26, No. 3/4 (2023)
- Decision analysis method of knowledge economy management based on rough
set algorithm-
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Authors: Lu Zhang, Wanqing Chen, Hengzhi Nie
Pages: 206 - 225
Abstract: A decision analysis method of knowledge economy management based on rough set algorithm is designed in order to solve the problems of low recall rate and poor anti-interference of decision results in the economic management decision analysis method. First, rough set algorithm is used to establish data category label set after data reduction, and fuzzy classification is used to divide data categories. Then, the management decision analysis model is designed from four aspects of management. Finally, the proportion of the four management models in the overall decision-making system is calculated, and the comprehensive decision-making analysis results of knowledge economy management are obtained according to the empowerment situation. The experiment shows that the recall rate of decision results of this method is more than 95%, and the value of anti-interference factor is more than 0.950, which has good performance.
Keywords: knowledge economy; economic management decisions; data reduction; rough set algorithm
Citation: International Journal of Sustainable Development, Vol. 26, No. 3/4 (2023) pp. 206 - 225
PubDate: 2023-10-20T23:20:50-05:00
DOI: 10.1504/IJSD.2023.134413
Issue No: Vol. 26, No. 3/4 (2023)
- Study on construction and application effect of the evaluation index
system of college students' innovation and entrepreneurship ability-
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Authors: Chongyou Ruan, Yiwen Ruan
Pages: 226 - 242
Abstract: Aiming at the low accuracy rate and recall rate of the evaluation index system of innovation and entrepreneurship ability of college students, a new evaluation index system of innovation and entrepreneurship ability of college students is designed and the application effect is studied. Firstly, the capability evaluation index system was constructed according to the five principles and evaluation index system dimension. Then, the principal component analysis method was introduced, and the CRITIC method was adopted to calculate the weight and optimise the algorithm. The evaluation index system was optimised through the optimised algorithm. Finally, the numerical transformation was carried out to obtain the evaluation score and realise the evaluation. The experimental results show that the correlation coefficient of this method is 0.98, the evaluation accuracy rate is 96.5%, and the evaluation recall rate is 97.0%. The PR curve has a good performance, and it has a higher application value.
Keywords: innovation and entrepreneurship ability; principal component analysis; CRITIC method; contribution rate; weight
Citation: International Journal of Sustainable Development, Vol. 26, No. 3/4 (2023) pp. 226 - 242
PubDate: 2023-10-20T23:20:50-05:00
DOI: 10.1504/IJSD.2023.134414
Issue No: Vol. 26, No. 3/4 (2023)
- Analysis of industrial transformation strategy of resource-based cities in
the era of technological innovation-
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Authors: Chongyou Ruan, Yiwen Ruan
Pages: 243 - 255
Abstract: To enhance industrial transformation and development in resource-based municipalities and increase the conversion rate, this investigation assesses industrial transformation approaches in the age of technological advancement. Firstly, an innovation-propelled power model for industrial restructuring and upgrading is suggested. Secondly, impact indicators for industrial transformation in resource-based municipalities in the era of technological innovation are formulated, and the entropy weight TOPSIS methodology is utilised to generate a comprehensive evaluation indicator for assessment criteria and gauge the ensuing transformation level. Lastly, this study puts forward an industrial transformation strategy for resource-based municipalities and scrutinises its outcomes. The experimental findings certify that after employing this industrial transformation scheme, the conversion rate escalates to 95%, implying that this tactic can proficiently stimulate industrial transformation and development in resource-based municipalities.
Keywords: industrial transformation strategy; the era of technological innovation; resource-based city; decision matrix; entropy weight TOPSIS method
Citation: International Journal of Sustainable Development, Vol. 26, No. 3/4 (2023) pp. 243 - 255
PubDate: 2023-10-20T23:20:50-05:00
DOI: 10.1504/IJSD.2023.134418
Issue No: Vol. 26, No. 3/4 (2023)
- Service quality measurement of agricultural cold chain logistics supply
chain based on grey clustering-
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Authors: Chaoyong Jia, Huaxi Chen, Wei Chu
Pages: 256 - 277
Abstract: In order to overcome the problems of poor accuracy, large error and long time consumption in traditional service measurement methods, this paper proposes a service quality measurement method of agricultural cold chain logistics supply chain based on grey clustering. Firstly, the measurement index system is designed and adjusted; Then, calculate the weight with TF-IDF method. Finally, determine the emotional tendency of the measured words based on SO-PMI algorithm, construct the service possibility function to determine the grey clustering coefficient of the evaluation index, and construct the clustering coefficient matrix to determine the grey class of the measured object, so as to realise the service quality measurement. The results show that the error of this method is only 0.06, the time consumption is 140 s shorter than that of the traditional method, and the accuracy can reach 98%, indicating that this method can improve the service measurement effect.
Keywords: grey clustering; TF-IDF method; SO-PMI algorithm; probability function; clustering coefficient matrix
Citation: International Journal of Sustainable Development, Vol. 26, No. 3/4 (2023) pp. 256 - 277
PubDate: 2023-10-20T23:20:50-05:00
DOI: 10.1504/IJSD.2023.134417
Issue No: Vol. 26, No. 3/4 (2023)
- Risk assessment method of transmission and transformation project cost
based on Monte Carlo simulation-
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Authors: Bo Yu, Tao Yu
Pages: 278 - 290
Abstract: In order to improve the level of correlation coefficient and Matthews correlation coefficient of the evaluation results, a risk assessment method of transmission and transformation project cost based on Monte Carlo simulation is designed. Establish the project cost evaluation index system, and introduce the range standardisation method to standardise the evaluation index. The Monte Carlo simulation process is established based on the trigonometric distribution function, and the probability of the occurrence of different indicators is sampled and analysed. The weighted Euclidean distance method is used to calculate the fit between the cost risk status and the Monte Carlo simulation model, and the cost risk measurement is reflected according to the calculated value. The experimental results show that the maximum correlation coefficient of this method can reach 0.99, and the maximum Matthews correlation coefficient can reach 0.949, indicating that the evaluation result of this method is more reliable.
Keywords: project cost; cost trend; indicator system; Monte Carlo simulation; risk assessment
Citation: International Journal of Sustainable Development, Vol. 26, No. 3/4 (2023) pp. 278 - 290
PubDate: 2023-10-20T23:20:50-05:00
DOI: 10.1504/IJSD.2023.134416
Issue No: Vol. 26, No. 3/4 (2023)
- Comprehensive evaluation of innovation and entrepreneurship ability in the
context of sustainable development-
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Authors: Hao Di, Ping Li
Pages: 291 - 305
Abstract: In order to address issues related to poor reliability and accuracy in traditional evaluation methods, this paper proposes a comprehensive method for evaluating innovation and entrepreneurship capabilities within the context of sustainable development. This proposed method entails establishing a system for evaluating the influencing factors impacting sustainable development, followed by employing the Page Rank algorithm to compute the values of each node in the indicator. The indicator's influencing factors' weights are achieved through normalisation processing. Subsequently, a comprehensive evaluation function is constructed, and modifications are made to obtain the evaluation results, ultimately leading to a comprehensive evaluation of innovation and entrepreneurship capabilities. Results indicate that the evaluation method's reliability is 0.976, the evaluation accuracy reaches 99.3%, and the evaluation time takes only 7.9 seconds.
Keywords: document analysis method; principal component analysis method; innovation and entrepreneurship ability; third-level index weight
Citation: International Journal of Sustainable Development, Vol. 26, No. 3/4 (2023) pp. 291 - 305
PubDate: 2023-10-20T23:20:50-05:00
DOI: 10.1504/IJSD.2023.134415
Issue No: Vol. 26, No. 3/4 (2023)
- Study on early warning evaluation of project investment risk considering
comprehensive simulation method-
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Authors: Weina Li, Zhinan Cui, Xiaochun Tang
Pages: 306 - 317
Abstract: In order to overcome the problems of risk assessment method, such as too long assessment time and poor assessment accuracy, this paper proposes a project investment risk early warning assessment method considering the comprehensive simulation method. First, design a risk index system; secondly, the expert weight of project investment risk indicators is determined, and the objective weight of experts is calculated using similarity information; then, combined with CRITIC method, the mixed weights of index attributes are calculated; finally, the comprehensive simulation method is introduced to realise risk early warning evaluation. The results show that the accuracy of early warning under this method is always higher than 92%, and the evaluation time is always within 20 days, which effectively validates the effect of early warning evaluation of project investment risk under this method.
Keywords: comprehensive simulation method; CRITIC method; expert subjective weight method; project investment risk; evaluation matrix
Citation: International Journal of Sustainable Development, Vol. 26, No. 3/4 (2023) pp. 306 - 317
PubDate: 2023-10-20T23:20:50-05:00
DOI: 10.1504/IJSD.2023.134410
Issue No: Vol. 26, No. 3/4 (2023)
- Evaluation method of diversified teaching effect of higher vocational
education based on knowledge map-
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Authors: Chen Chen, Peisen Song
Pages: 318 - 328
Abstract: In order to overcome the problems of low evaluation accuracy and large calculation error of index contribution rate of teaching effect evaluation method, this paper proposes a teaching effect evaluation method based on knowledge map. First, build a diversified teaching effect assessment index system; secondly, the similarity degree of index data is calculated by using naive Bayes algorithm. Then, Lagrange multiplier is introduced to quantify the assess index. Finally, the contribution rate of the indicators is determined through the knowledge map, and the ontology elements are updated and selected to realise the teaching effect assess of vocational education. The experimental results show that the proposed method can improve the assessment accuracy up to 95.8%, and the maximum error of index contribution rate is no more than 1%, indicating that the diversified teaching effect assessment effect of this method is better.
Keywords: knowledge map; higher vocational education; diversified teaching; effect assess; K adjacent; naive Bayes
Citation: International Journal of Sustainable Development, Vol. 26, No. 3/4 (2023) pp. 318 - 328
PubDate: 2023-10-20T23:20:50-05:00
DOI: 10.1504/IJSD.2023.134409
Issue No: Vol. 26, No. 3/4 (2023)
- Construction safety risk assessment method of construction engineering
based on improved SVM-
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Authors: Quan Yin, Junqing Zhou, Yi Zhou, Zhi-ping Li
Pages: 329 - 343
Abstract: In this study, SVM was improved to complete the design of a building safety risk assessment method. This method selects the index to design the scientific evaluation system and completes the calculation of the index weight. Then, the support vector machine is improved and optimised. The judgement matrix is established according to the nine-level scale method, and it is standardised as the input of SVM, and the building safety risk assessment grade is output through the optimal hyperplane classification. The results show that the generalisation error of this method is between 0.034 and 0.053, and the evaluation time is between 1.5 h and 2.5 h, which can better evaluate the safety risk of engineering construction.
Keywords: architectural engineering; construction safety risk; risk assessment; Cauchy function; particle swarm optimisation algorithm; SVM
Citation: International Journal of Sustainable Development, Vol. 26, No. 3/4 (2023) pp. 329 - 343
PubDate: 2023-10-20T23:20:50-05:00
DOI: 10.1504/IJSD.2023.134411
Issue No: Vol. 26, No. 3/4 (2023)
- Performance evaluation method of green supply chain management for
sustainable development-
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Authors: Quan Yin, Junqing Zhou, Yi Zhou, Zhi-ping Li
Pages: 344 - 355
Abstract: A new approach has been proposed for evaluating the performance of green supply chain management for sustainable development. This approach consists of determining the necessary components of green supply chains, developing a comprehensive evaluation index system, evaluating the membership degree for each indicator using a triangular fuzzy function, creating a fuzzy judgment matrix, and establishing the weight of each indicator. Finally, utilising both a polynomial function and the radial basis function in the kernel function, a performance evaluation model for green supply chain management is constructed, and the results of the performance management evaluation are determined. The proposed method significantly reduces evaluation errors, greatly reduces the time and cost of evaluation process, and keeps the evaluation error below 1.0%.
Keywords: facing sustainable development; green supply chain; management performance evaluation; triangular ambiguity function; kernel function
Citation: International Journal of Sustainable Development, Vol. 26, No. 3/4 (2023) pp. 344 - 355
PubDate: 2023-10-20T23:20:50-05:00
DOI: 10.1504/IJSD.2023.134420
Issue No: Vol. 26, No. 3/4 (2023)
- Social capital in sustainable cooperative entrepreneurship: an insight
at cooperatives in Turkey-
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Authors: Quan Yin, Junqing Zhou, Yi Zhou, Zhi-ping Li
Pages: 356 - 382
Abstract: The sustainability of an enterprise has implications for both the company and society. The paper discusses the sustainability of cooperative entrepreneurship (CE) among company types using the social capital approach. Although social capital is supportive of social and economic development, the type of company is ignored in studies examining the social capital of enterprises. In the study, studies on cooperatives in Turkey were examined. The findings show that the benefits of social capital increase after the members join the cooperative. Members get benefits such as increased revenue, collaboration in a trusted environment, and increased production volume. These advantages increase the performance of CEs. In other words, there is an affirmative interaction between CE performance and social capital in the sustainability of CEs.
Keywords: social capital; cooperative entrepreneurship; sustainability; entrepreneurship; cooperative; sustainable development; Turkey
Citation: International Journal of Sustainable Development, Vol. 26, No. 3/4 (2023) pp. 356 - 382
PubDate: 2023-10-20T23:20:50-05:00
DOI: 10.1504/IJSD.2023.134408
Issue No: Vol. 26, No. 3/4 (2023)
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