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Risk Prediction Algorithm of Green Agriculture Industry Direct Marketing Based on Improved Membership Function

Author

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  • Roulin Chen
  • Ling Cao
  • Naeem Jan

Abstract

Live broadcast marketing refers to an online marketing mode that takes live broadcast platform as the carrier and synchronously produces and broadcasts programs at the scene of events through the technical means of live video in order to achieve brand promotion and sales increase in the Internet era. The year 2016 is known as the first year of live streaming in China. Since 2016, live streaming platforms have been constantly emerging. Major e-commerce (EC) platforms such as Taobao, Suning, and JINGdong have introduced live streaming functions, and the scale of live streaming users is also on the grow. The number of users is expected to reach 452 million in 2018, up to 15.3% year on year. It is a common problem in the production and operation of agricultural products that the production and operation of agricultural products are scattered and not widely sold. In the Internet era, the promotion of agricultural products sales by EC is more and more respected, while the emergence of direct broadcasting brings new development opportunities for agricultural products marketing. For the reasonable evaluation of green construction activities: firstly, the two-level evaluation index system of green construction is established. Secondly, the fuzzy comprehensive evaluation model of green construction is established using AHP to calculate the importance weight of each index. According to the structural characteristics of the index system, the improved membership degree (MD) conversion algorithm is used to identify the membership degree of the redundant index that has no effect on the target classification and the redundancy value in the membership degree of the target. The “effective value†that plays a role in the green construction classification is selected to participate in the calculation of the target MD, and the practical evaluation results are obtained. Finally, the feasibility of the method is verified by an engineering example.

Suggested Citation

  • Roulin Chen & Ling Cao & Naeem Jan, 2022. "Risk Prediction Algorithm of Green Agriculture Industry Direct Marketing Based on Improved Membership Function," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-9, May.
    • Handle: RePEc:hin:jnlmpe:7418089
    DOI: 10.1155/2022/7418089
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