[HTML][HTML] Ranking tourist attractions through online reviews: A novel method with intuitionistic and hesitant fuzzy information based on sentiment analysis

Y Qin, X Wang, Z Xu - International journal of fuzzy systems, 2022 - Springer
Online tourist reviews are the real feeling of tourists after the journey, which have a strong
reference value for potential tourists to make travel decisions. However, it is almost …

Tourism attraction selection with sentiment analysis of online reviews based on probabilistic linguistic term sets and the IDOCRIW-COCOSO model

Y Luo, X Zhang, Y Qin, Z Yang, Y Liang - International Journal of Fuzzy …, 2021 - Springer
The Internet has provided many platforms for tourists to spread tourism-related information,
resulting in a large amount of online review data on tourist attractions. Mining and analyzing …

Ranking products with online reviews: A novel method based on hesitant fuzzy set and sentiment word framework

D Zhang, C Wu, J Liu - Journal of the Operational Research Society, 2020 - Taylor & Francis
Recently, sentiment analysis (SA) and multi-attribute decision making (MADA) have been
extensively studied respectively, which aims to help decision makers make informed …

A method for ranking products through online reviews based on sentiment classification and interval-valued intuitionistic fuzzy TOPSIS

Y Liu, JW Bi, ZP Fan - … Journal of Information Technology & Decision …, 2017 - World Scientific
Studies have shown that online product reviews significantly affect consumer purchase
decisions. However, it is difficult for the consumer to read online product reviews one by one …

Hotel selection utilizing online reviews: a novel decision support model based on sentiment analysis and DL-VIKOR method

X Liang, P Liu, Z Wang - Technological and Economic Development of …, 2019 - jest.vgtu.lt
With the considerable development of tourism market, as well as the expansion of the e-
commerce platform scale, increasing tourists often prefer to select tourism products such as …

A decision-making algorithm combining the aspect-based sentiment analysis and intuitionistic fuzzy-VIKOR for online hotel reservation

Z Yang, Y Gao, X Fu - Annals of Operations Research, 2021 - Springer
In the process of hotel reservation on online traveling platforms, online reviews, as a
fundamental source where the actual information of a product can be had access to, have …

A projection-based outranking method with multi-hesitant fuzzy linguistic term sets for hotel location selection

P Ji, HY Zhang, JQ Wang - Cognitive Computation, 2018 - Springer
Keen competition drives hotel companies to enhance their position. One way to do this is to
select a proper hotel location. However, hotel location selection is a complex problem. This …

Ranking products through online reviews: A novel data-driven method based on interval type-2 fuzzy sets and sentiment analysis

J Qin, M Zeng, X Wei, W Pedrycz - Journal of the Operational …, 2024 - Taylor & Francis
As an essential information resource, online reviews play an important role in consumers'
decision-making processes. To solve the product ranking problem through online reviews …

Deriving customer preferences for hotels based on aspect-level sentiment analysis of online reviews

J Zhang, X Lu, D Liu - Electronic Commerce Research and Applications, 2021 - Elsevier
An increasing number of travelers like to share their experience and feelings about hotel
stays through social media, generating a sheer volume of online hotel reviews. The user …

TODIM-based multi-criteria decision-making method with hesitant fuzzy linguistic term sets

M Lin, H Wang, Z Xu - Artificial Intelligence Review, 2020 - Springer
As a popular tool for modeling the qualitative assessment information, the hesitant fuzzy
linguistic term sets (HFLTSs) can allow the decision makes or experts to give several …