Affiliation:
1. China University of Labor Relations, Beijing, China
2. Department of Culture Management, Shanghai Publishing and Printing College, Shanghai, China
Abstract
With the rapid economic development, people cannot do without hotels in daily life and travel. The number of hotels is increasing rapidly, and the competitiveness between hotels is gradually increasing. A reasonable and sound hotel management system has become the key to the survival and development of an enterprise. The operation and operation of a hotel generates a large amount of information and data every day. Data text mining is an important method in current information processing technology. The purpose of this article is to explore the specific application effects of text mining methods based on fuzzy logic and neural networks in hotel management. Through the design of a hotel management system based on fuzzy logic and neural network, text mining database design is carried out according to hotel management needs, and the application effect of the hotel management system is evaluated. The evaluation indicators include customer satisfaction, operating costs, management efficiency, and hotel income. The results of the study show that the hotel management system based on fuzzy logic and neural network text mining can increase customer satisfaction by 37.4%, the hotel’s comprehensive management efficiency by 28.6%, and the hotel’s revenue level by 23.5%. At the same time, through the text mining of the key information generated in the hotel operation and management, the weak links in the management system can be strengthened and the hotel operation cost can be saved. Therefore, it is feasible to apply the text mining method based on fuzzy logic and neural network to hotel management.
Subject
Artificial Intelligence,General Engineering,Statistics and Probability
Reference39 articles.
1. Capacity Sharing, Product Differentiation and Welfare;Chen;Economic Research Ekonomska Istraživanjaa,2020
2. Research on prediction of traffic flow based on dynamic fuzzy neural networks;Li;Neural Computing and Applications,2016
3. [Studies in Computational Intelligence] Design of Intelligent Systems Based on Fuzzy Logic;Melin;Neural Networks and Nature-Inspired Optimization Volume 601 Study of Parameter Variations in the Cuckoo Search Algorithm and the Influence in Its Behavior,2015
4. The Research of Evaluation Method of ATM Shifting Quality Based on Neural Network;Cheng;2015 International Conference on Education, Management, Information and Medicine,2015
5. An empirical study on effects of electronic word-of-mouth and internet risk avoidance on purchase intention - from the perspective of big data;Yuan;Soft Computing,2020
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