Decision Making for Hotel Selection using Rough Set Theory: A case study of Indian Hotels

摘要

The role of service quality to meet customer satisfaction is imperative for decisions and policy making by hotel authorities. This study presents a case study on developing strategies which will maximize the profit by enticing more tourists in hotels. In this study, we have applied rough set theory (RST) on data related to hotel industry and derived "if ... then …" decision rules to classify the attributes of hotel. Proposed method can help decision makers to understand tourist behavior and improve the service quality of hotel industry. We have also performed some statistical analysis like predictive analysis and exploratory data analysis to analyze the effects of different factors which can influence the decision making of the concerned authorities.