Abstract
Online reviews of hotels reflect tourist perception and evaluation, which are becoming an important perspective of studying hotel selection. In this paper, we prefer to use a probabilistic linguistic term set (PLTS) to fully reveal evaluation grades and the corresponding probability distribution in the online reviews of hotels. In this way, we propose a novel stochastic dominance-based approach based on stochastic dominance degrees of PLTSs and a stochastic multi-criteria acceptability analysis (SMAA) method that tolerates missing information. Among them, first-, second-, and third-order stochastic dominance degrees of PLTSs are calculated on the premise that the dominance relationships between PLTSs can be defined based on first-, second-, and third-order stochastic dominance rules of PLTSs. Based on these basic researches, five hotels are selected as alternatives in our case study to verify the validity and feasibility of the proposed approach. In the end, data analysis illustrates the influence of parameter and linguistic scale functions and how to choose appropriate parameter values. Furthermore, comparative analysis with other methods shows the stability of the proposed approach.
Highlights
With the development of network technology, different hotel reservation platforms are designed to facilitate people to choose and book hotels on the website
Step 2: Define cumulative distribution functions corresponding to probabilistic linguistic term set (PLTS) in the decision matrix
The situation is related to the mutable weight vectors that are generated under given constraint conditions
Summary
With the development of network technology, different hotel reservation platforms are designed to facilitate people to choose and book hotels on the website. Environment, price and service facilities of different star hotels are exhibited on these platforms in detail. Numerous reviews of hotels that are given by former tourists provide supplement features of hotels [1]. Several factors such as price and location are taken into consideration when tourists choose hotels on the website. Hotel selection is a complicated multi-criteria decision-making problem, which means that tourists should select favored hotels from hotel listings with considering these factors [2]. Many studies that focused on hotels’ factors, tourists’ preferences and purposes have been conducted to help tourists make choices and provide managers with an insight into tourists’
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
