A study of the price situation of sailboats based on a comprehensive evaluation model

Authors

  • Zhuoning Jin
  • Zhiwang Mao
  • Haocong Ding
  • Jingyan Cai
  • Jingbin Xue
  • Yuhan Zhang

DOI:

https://doi.org/10.54097/znnwaxgc

Keywords:

Used Sailboat, Price, Comprehensive Evaluation Model, Hong Kong (SAR)

Abstract

In order to optimize the price evaluation of used sailboats, this paper collects and analyzes a large amount of relevant data, and adopts principal component analysis, multiple linear regression and neural network model to establish the linkage between price and each variable. The non-numerical data are quantified and processed, and the comprehensive evaluation model is constructed by entropy value method and linear weighting method. The TOPSIS method was used to revalue the price and optimize the model. The geographic location is quantified by spherical coordinates and analyzed by clustering to build a geographic-price model. Finally, taking Hong Kong as an example, the time series and support vector machine models are used for pricing.

References

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Alhakamy A’aeshah et al. Are Used Cars More Sustainable? Price Prediction Based on Linear Regression[J]. Sustainability, 2023, 15(2): 911-911.

LI Fang, LI Dongping. A portfolio evaluation model based on entropy weight method[J]. Information Technology and Informatization, 2021, (09): 148-150.

JIA Ruiyu, LI Yugong. K-means algorithm for self-determination of the number of class clusters and initial centroids[J]. Computer Engineering and Applications, 2018, 54 (07): 152-158.

M.B. P C, E. S M . Estimating sample sizes for evidential; t; tests[J]. Research in Mathematics, 2022, 9(1).

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Published

03-01-2024

Issue

Section

Articles

How to Cite

Jin, Z., Mao, Z., Ding, H., Cai, J., Xue, J., & Zhang, Y. (2024). A study of the price situation of sailboats based on a comprehensive evaluation model. Mathematical Modeling and Algorithm Application, 1(1), 1-6. https://doi.org/10.54097/znnwaxgc