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      Ranking Tourist Attractions through Online Reviews: A Novel Method with Intuitionistic and Hesitant Fuzzy Information Based on Sentiment Analysis

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          Abstract

          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 impossible for a potential tourist to look through the massive online reviews related to tourist attractions (TAs) so that he/she can make the most appropriate decision. To this end, this paper proposes a recommender system to rank the alternative TAs through online reviews based on aspect-level sentiment analysis and multi-criteria decision-making (MCDM) with intuitionistic and hesitant fuzzy information. In this methodology, the aspects that the experienced tourists concern are extracted from online reviews to construct a three-level evaluation system (including target layer, criteria layer and sub-criteria layer), which not only ensures the comprehensive evaluation of TAs as much as possible, but also reduces the complexity of the decision-making process. Then, the online reviews related to these sub-criteria are transformed into the corresponding intuitionistic and hesitant fuzzy performance scores through aspect-level sentiment analysis. Furthermore, in order to obtain the final ranking result that more in line with the expectations of the potential tourist, the preference information from the potential tourist and experienced tourists is integrated to determine the weights of criteria. Subsequently, the intuitionistic and hesitant fuzzy TOPSIS (IHF-TOPSIS) method is proposed to rank the alternative TAs. Finally, a case study is provided to verify the validity and applicability of the methodology.

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          Most cited references 77

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          Fuzzy sets

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            Intuitionistic fuzzy sets

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              A Mathematical Theory of Communication

               C. Shannon (1948)
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                Author and article information

                Contributors
                yongqin_ahsc@163.com
                wangxinxin_cd@163.com
                xuzeshui@263.net
                Journal
                Int. J. Fuzzy Syst.
                International Journal of Fuzzy Systems
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                1562-2479
                2199-3211
                24 June 2021
                : 1-23
                Affiliations
                GRID grid.13291.38, ISNI 0000 0001 0807 1581, Business School, , Sichuan University, ; Chengdu, 610064 China
                Article
                1131
                10.1007/s40815-021-01131-9
                8224999
                © Taiwan Fuzzy Systems Association 2021

                This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.

                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: 71571123
                Award ID: 71771155
                Award Recipient :
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