Research on package task price strategy based on dynamic expectation and gray analysis

Heming Bing

doi:10.1117/12.2635994

5 May 2022 Research on package task price strategy based on dynamic expectation and gray analysis

Heming Bing

Proceedings Volume 12245, International Conference on Cryptography, Network Security, and Communication Technology (CNSCT 2022); 122450X (2022) https://doi.org/10.1117/12.2635994
Event: International Conference on Cryptography, Network Security, and Communication Technology (CNSCT 2022), 2022, Sanya, China

Abstract

This paper analyzes the self-service mode of "taking pictures to make money" and studies the most important and core problem in this mode-task pricing. Through qualitative and quantitative analysis, combined with the actual influence of geographical location, we give the scheme to achieve a higher task completion rate at less cost than the original pricing method. First of all, through the statistical analysis of GPS data, it is concluded that each task presents a multi-center aggregation trend. By referring to the form of the uniform distribution density function of two-dimensional random variables, the dynamic expectation function is constructed by imitating the definition of mathematical expectation in probability theory, and the correlation between each expectation and pricing is analyzed to verify the conjecture. Next, inspired by the idea of grey analysis, the calculation method of task expectation and member expectation is extended, and each task position's difficult expectation and quota expectation are calculated. Finally, according to the differential form of logistic model, the pricing strategy is determined by connecting with the microbial growth curve function. Compared with the original scheme, the task cost decreased by about 0.1%, and the completion rate increased by 12.5%.

Citation Download Citation

Heming Bing "Research on package task price strategy based on dynamic expectation and gray analysis", Proc. SPIE 12245, International Conference on Cryptography, Network Security, and Communication Technology (CNSCT 2022), 122450X (5 May 2022); https://doi.org/10.1117/12.2635994

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