Cross-Platform Hotel Evaluation by Aggregating Multi-Website Consumer Reviews with Plts and Choquet Integral  
Author Yinrunjie Zhang


Co-Author(s) Decui Liang


Abstract This paper proposes a new hotel evaluation model with probabilistic linguistic information processing to integrate ratings and comments from multiple websites. To tackle the differences among websites, this paper develops a method of adjusting linguistic-term formations for each website separately. This paper also proposes an unbalanced linguistic scale function using Weber-Fechner Law. Moreover, considering the interrelationships among criteria, this paper extends the Choquet integral to the probabilistic linguistic term set (PLTS) environment. Ultimately, this paper puts forward a weighted averaging linear assignment model for hotel ranking.


Keywords hotel evaluation, multi-website information, probabilistic linguistic term set, online reviews, Choquet integral
    Article #:  DSBFI23-99
Proceedings of 2nd ISSAT International Conference on Data Science in Business, Finance and Industry
January 8-10, 2023 - Da Nang, Vietnam