ISBN: 978-981-11-3671-9 DOI: 10.18178/wcse.2017.06.018
Rule Mining Method for the Evaluation of Hotel Service Quality Based on Improved Genetic Algorithm
Abstract— The market competition of modern hotel is becoming more and more intense, and the demand of
hotel service quality is higher and higher. The regular evaluation of hotel service quality can improve its
service quality and market competitive power. In the course of evaluating hotel service quality, the
evaluation index system and evaluation knowledge rules are necessary. The factors which affect hotel service
quality are analyzed and evaluation index system of hotel service quality is established in this study. An
improved genetic algorithm is designed and a knowledge rule mining method for the evaluation of hotel
service quality based on genetic algorithm is proposed. In the algorithm, new knowledge rules are generated
by selection operator, adaptive crossover operator and adaptive mutation operator. Knowledge rules are
evaluated by their accuracy, coverage and reliability. Experimental results show that this method can produce
new knowledge individuals with higher fitness, so it is fully effective as a knowledge rule mining method.
Index Terms— Knowledge rule mining; Evaluation of hotel service quality; Fitness of knowledge rule;
Improve Genetic algorithm
Yan Taishan, Guo Guanqi, Li Wenbin
School of Information and Communication Engineering, Hunan Institute of Science and Technology, CHINA
Cite: Yan Taishan, Guo Guanqi, Li Wenbin, "Rule Mining Method for the Evaluation of Hotel Service Quality Based on Improved Genetic Algorithm," Proceedings of 2017 the 7th International Workshop on Computer Science and Engineering, pp. 105-109, Beijing, 25-27 June, 2017.