Proceedings of the 2022 International Conference on Computer Science, Information Engineering and Digital Economy (CSIEDE 2022)

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Competitive Evaluation Index of Chinese Fast-Food Enterprises Based on Feature Weighting Techniques

Authors
Siliang Liu1, Chuanjun Tian2, *
1School of literature, Jinan University, Guangzhou, Guangdong, China
2Purchasing center, Jinan University, Guangzhou, Guangdong, China
*Corresponding author.
Corresponding Author
Chuanjun Tian
Available Online 30 December 2022.
DOI
10.2991/978-94-6463-108-1_75How to use a DOI?
Keywords
Chinese fast-food; Catering enterprises; Enterprise competitiveness; Expert system; Feature weighting techniques
Abstract

In recent years, China’s fast-food industry has developed rapidly and is growing at a high rate. The number of fast-food enterprises is increasing rapidly, and the market is becoming increasingly competitive. To stand firm and succeed in the fierce market competition, enterprises must strive to improve their competitiveness. How to correctly measure and evaluate the competitiveness of Chinese fast-food enterprises has become an important research topic. Although many evaluation metrics have been proposed, most of the existing evaluation metrics are fused using uniform weights in the fusion stage. They lack the integration of domain knowledge into the metric construction process, which in turn leads to the problem of inaccurate evaluation. This paper proposed a competitiveness evaluation index based on feature weighting techniques for Chinese fastfood enterprises. Specifically, we first analyze the existing evaluation indexes statistically, then introduce an expert system to assign weights to the contribution of the indexes, and finally fuse the learned weights in a weighted manner to obtain our evaluation indexes.

Copyright
© 2022 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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Volume Title
Proceedings of the 2022 International Conference on Computer Science, Information Engineering and Digital Economy (CSIEDE 2022)
Series
Advances in Computer Science Research
Publication Date
30 December 2022
ISBN
10.2991/978-94-6463-108-1_75
ISSN
2352-538X
DOI
10.2991/978-94-6463-108-1_75How to use a DOI?
Copyright
© 2022 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

risenwbib
TY  - CONF
AU  - Siliang Liu
AU  - Chuanjun Tian
PY  - 2022
DA  - 2022/12/30
TI  - Competitive Evaluation Index of Chinese Fast-Food Enterprises Based on Feature Weighting Techniques
BT  - Proceedings of the 2022 International Conference on Computer Science, Information Engineering and Digital Economy (CSIEDE 2022)
PB  - Atlantis Press
SP  - 674
EP  - 682
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-108-1_75
DO  - 10.2991/978-94-6463-108-1_75
ID  - Liu2022
ER  -