Research on Fresh Platform Selection and Online Evaluation of Logistics Attributes Based on Picture Fuzzy Set

DOI

10.2991/978-94-6463-570-6_115How to use a DOI?

Keywords

online evaluation; fresh platform; multiple attribute decision-making; picture fuzzy ordinal priority approach

Abstract

Fully utilizing the online evaluation data of e-commerce platforms to achieve customer-oriented fresh logistics service attribute research and platform evaluation has certain practical significance. Based on online evaluation, picture fuzzy ordinal priority approach is proposed to study the logistics service attributes of fresh products, and then evaluate the fresh shopping platform. Firstly, using Python to extract online evaluation data for language processing and sentiment analysis, setting data collection rules to filter out logistics attribute words with higher frequency. Secondly, the data is converted into Picture fuzzy number and the four indicators of membership, neutrality, non-membership, and abstention of Picture fuzzy set are used to characterize the positive, neutral, negative, and unrelated forms of evaluation information in online evaluation, quantifying the relative importance of different logistics attributes. Then, the score function value of logistics attribute words is calculated, and the profit matrix is determined to obtain the local and global weights of product logistics attributes in Jingdong Fresh, Taobao Fresh, and Suning Fresh. Finally, a relative ranking of the importance of the logistics attributes of the three fresh food platforms and products is made, and through comparative analysis, the advantages and flexibility of the picture fuzzy ordinal priority approach are verified, providing reference for consumers to choose fresh food platforms.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Lei Wang
AU  - Guangyan Han
PY  - 2024
DA  - 2024/11/22
TI  - Research on Fresh Platform Selection and Online Evaluation of Logistics Attributes Based on Picture Fuzzy Set
BT  - Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024)
PB  - Atlantis Press
SP  - 1147
EP  - 1158
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-570-6_115
DO  - 10.2991/978-94-6463-570-6_115
ID  - Wang2024
ER  -