Customer Satisfaction Evaluation Method Based on Fuzzy Hierarchy Analysis
- DOI
- 10.2991/978-94-6463-198-2_67How to use a DOI?
- Keywords
- fuzzy hierarchical analysis; customer satisfaction; evaluation methods; quadratic graphical model; customer needs; loyalty
- Abstract
Facing the problem of low rate of change of customer satisfaction evaluation methods, a customer satisfaction evaluation method based on fuzzy hierarchical analysis is designed. Optimising the customer relationship management structure, promoting the transformation of customers from willingness to behaviour, calculating the conflicting values and information content of each indicator, constructing a customer satisfaction quadratic model, calculating the combination weights and designing the evaluation method based on fuzzy hierarchical analysis. Experimental results: The mean value of the rate of change of the two indicator measures of the customer satisfaction evaluation method in the paper is: 9.253, indicating that the performance of the designed customer satisfaction evaluation method is more perfect after fully integrating the fuzzy hierarchical analysis algorithm.
- Copyright
- © 2023 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.
Cite this article
TY - CONF AU - Xiangna Li AU - Fang Xu AU - Zhaojun Yuan AU - Zhenxiang Pan AU - Bin Ma AU - Feifei Lv AU - Tao Zhang PY - 2023 DA - 2023/08/10 TI - Customer Satisfaction Evaluation Method Based on Fuzzy Hierarchy Analysis BT - Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023) PB - Atlantis Press SP - 653 EP - 659 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-198-2_67 DO - 10.2991/978-94-6463-198-2_67 ID - Li2023 ER -