2018
DOI: 10.1007/978-981-10-7871-2_20
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An Online Review-Based Hotel Selection Process Using Intuitionistic Fuzzy TOPSIS Method

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Cited by 10 publications
(3 citation statements)
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“…Peng, Wang, & Wang (2021, p. 2) used MULTIMOORA to evaluate hotels. The reader may also refer to Pahari, Ghosh, & Pal (2018, p. 205), Abuhashesh, Al-Khasawneh, Al-Dmour, & Masa'Deh (2019 3), Kim, Lee, &Han (2019, p. 998), andKwok &Lau (2019, p. 96) for further hotel selection studies. Since all these studies were taken into account before the pandemic period, the changing criteria and the situation of the hotels were undoubtedly ignored.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Peng, Wang, & Wang (2021, p. 2) used MULTIMOORA to evaluate hotels. The reader may also refer to Pahari, Ghosh, & Pal (2018, p. 205), Abuhashesh, Al-Khasawneh, Al-Dmour, & Masa'Deh (2019 3), Kim, Lee, &Han (2019, p. 998), andKwok &Lau (2019, p. 96) for further hotel selection studies. Since all these studies were taken into account before the pandemic period, the changing criteria and the situation of the hotels were undoubtedly ignored.…”
Section: Literature Reviewmentioning
confidence: 99%
“…In recent years, research on recommendation algorithms based on review information has gradually become a hot topic. Pahari, et al [5] proposed a hotel recommendation ranking for online reviews based on an intuitive fuzzy algorithm. Zhou, et al [6] put patient consultation text and doctor labels as samples into the Word2vec model and LDA model for training and put forward a doctor recommendation algorithm based on label and patient consultation text, which effectively solved the problems of the loose structure of online medical information and insufficient accuracy of doctor recommendation on medical platforms.…”
Section: Introductionmentioning
confidence: 99%
“…For example, QFD can be integrated with a fuzzy analytic network process (Mistarihi et al 2020) or interval-valued intuitionistic fuzzy set (Wang et al 2022). Fuzzy theory has been widely adopted to represent customer evaluation information, including intuitionistic fuzzy sets (Pahari et al 2018), probabilistic linguistic term sets (Wu and Liao 2018), and picture fuzzy numbers (Tao and You 2022).…”
Section: Introductionmentioning
confidence: 99%