A Multilevel Fuzzy Evaluation of Cross-Border E-Commerce Profitability Model

IF 2.9 4区计算机科学

International Journal of Computational Intelligence Systems Pub Date : 2023-09-20 DOI:10.1007/s44196-023-00332-4

Qijun Zou

引用次数: 0

Abstract

Abstract With the continuous development of economic globalisation, China has established free trade zones (FTA). To promote the diversification of cross-border e-commerce in FTA and increase industry competitiveness, the Porter's Five Forces model (PFFM) was used to analyse the profit model of e-commerce enterprises. Based on fuzzy logic, an evaluation model for the profit model of cross-border e-commerce was constructed, and this evaluation model was used to evaluate the profitability of cross-border e-commerce. The results show that the evaluation model constructed based on fuzzy logic can better reflect the profitability of enterprises. The accuracy of multilevel fuzzy evaluation is above 80% every year, with the highest accuracy being in 2017, and the evaluation accuracy for that year is 98.5%. The study of a cross-border e-commerce profit evaluation model based on multilevel fuzzy evaluation method can better reflect the profitability of enterprises and help them clarify their future development direction.

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跨境电子商务盈利模式的多层次模糊评价

随着经济全球化的不断发展，中国建立了自由贸易区。为了促进自贸区内跨境电子商务的多元化发展，提高行业竞争力，本文运用波特五力模型(Porter’s Five Forces model, PFFM)对电子商务企业的盈利模式进行了分析。基于模糊逻辑，构建了跨境电子商务盈利模式的评价模型，并利用该评价模型对跨境电子商务的盈利能力进行了评价。结果表明，基于模糊逻辑构建的评价模型能较好地反映企业的盈利能力。多级模糊评价的准确率每年都在80%以上，2017年准确率最高，当年的评价准确率为98.5%。研究基于多级模糊评价法的跨境电子商务利润评价模型，可以更好地反映企业的盈利能力，帮助企业明确未来的发展方向。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Computational Intelligence Systems 工程技术-计算机：跨学科应用

自引率

3.40%

发文量

期刊介绍： The International Journal of Computational Intelligence Systems publishes original research on all aspects of applied computational intelligence, especially targeting papers demonstrating the use of techniques and methods originating from computational intelligence theory. The core theories of computational intelligence are fuzzy logic, neural networks, evolutionary computation and probabilistic reasoning. The journal publishes only articles related to the use of computational intelligence and broadly covers the following topics: -Autonomous reasoning- Bio-informatics- Cloud computing- Condition monitoring- Data science- Data mining- Data visualization- Decision support systems- Fault diagnosis- Intelligent information retrieval- Human-machine interaction and interfaces- Image processing- Internet and networks- Noise analysis- Pattern recognition- Prediction systems- Power (nuclear) safety systems- Process and system control- Real-time systems- Risk analysis and safety-related issues- Robotics- Signal and image processing- IoT and smart environments- Systems integration- System control- System modelling and optimization- Telecommunications- Time series prediction- Warning systems- Virtual reality- Web intelligence- Deep learning