Cross-platform hotel evaluation by aggregating multi-website consumer reviews with probabilistic linguistic term set and Choquet integral.
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| Title: | Cross-platform hotel evaluation by aggregating multi-website consumer reviews with probabilistic linguistic term set and Choquet integral. |
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| Authors: | Zhang, Yinrunjie1 (AUTHOR) yinrunjie-zhang@outlook.com, Liang, Decui1 (AUTHOR) decuiliang@126.com, Xu, Zeshui2 (AUTHOR) xuzeshui@263.net |
| Source: | Annals of Operations Research. May2025, Vol. 348 Issue 1, p221-255. 35p. |
| Subjects: | Weber-Fechner law, Linguistic models, Consumers' reviews, Information processing, Websites |
| Abstract: | In order to adequately utilize and integrate both ratings and comments from multiple websites, this paper proposes a new hotel evaluation model with probabilistic linguistic information processing. Taking consumers' possible psychological activities when leaving their reviews into consideration, this paper adapts the Weber-Fechner Law with the linguistic scale function and develop a novel unbalanced linguistic scale function. This paper also attempts to develop a method that enables adjusting linguistic-term formations among different websites to make full use of information. Then, we learn the decision criteria and the corresponding weight of hotel evaluation based on analyzing rating rules and consumer comments. Moreover, considering the interrelationships among criteria, this paper extends the Choquet integral to the probabilistic linguistic term set (PLTS) environment and designs some novel fusion operators. Furthermore, considering the fact that different websites mostly focus on heterogeneous hotel criteria, this paper puts forward a weighted averaging linear assignment based ranking method with the aid of PLTS Choquet integral. Finally, a case study of hotel evaluation is given to illustrate the validity and applicability of our proposed approach. [ABSTRACT FROM AUTHOR] |
| Copyright of Annals of Operations Research is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 185070442 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Cross-platform hotel evaluation by aggregating multi-website consumer reviews with probabilistic linguistic term set and Choquet integral. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Zhang%2C+Yinrunjie%22">Zhang, Yinrunjie</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> yinrunjie-zhang@outlook.com</i><br /><searchLink fieldCode="AR" term="%22Liang%2C+Decui%22">Liang, Decui</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> decuiliang@126.com</i><br /><searchLink fieldCode="AR" term="%22Xu%2C+Zeshui%22">Xu, Zeshui</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> xuzeshui@263.net</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Annals+of+Operations+Research%22">Annals of Operations Research</searchLink>. May2025, Vol. 348 Issue 1, p221-255. 35p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Weber-Fechner+law%22">Weber-Fechner law</searchLink><br /><searchLink fieldCode="DE" term="%22Linguistic+models%22">Linguistic models</searchLink><br /><searchLink fieldCode="DE" term="%22Consumers'+reviews%22">Consumers' reviews</searchLink><br /><searchLink fieldCode="DE" term="%22Information+processing%22">Information processing</searchLink><br /><searchLink fieldCode="DE" term="%22Websites%22">Websites</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: In order to adequately utilize and integrate both ratings and comments from multiple websites, this paper proposes a new hotel evaluation model with probabilistic linguistic information processing. Taking consumers' possible psychological activities when leaving their reviews into consideration, this paper adapts the Weber-Fechner Law with the linguistic scale function and develop a novel unbalanced linguistic scale function. This paper also attempts to develop a method that enables adjusting linguistic-term formations among different websites to make full use of information. Then, we learn the decision criteria and the corresponding weight of hotel evaluation based on analyzing rating rules and consumer comments. Moreover, considering the interrelationships among criteria, this paper extends the Choquet integral to the probabilistic linguistic term set (PLTS) environment and designs some novel fusion operators. Furthermore, considering the fact that different websites mostly focus on heterogeneous hotel criteria, this paper puts forward a weighted averaging linear assignment based ranking method with the aid of PLTS Choquet integral. Finally, a case study of hotel evaluation is given to illustrate the validity and applicability of our proposed approach. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Annals of Operations Research is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10479-022-05075-7 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 35 StartPage: 221 Subjects: – SubjectFull: Weber-Fechner law Type: general – SubjectFull: Linguistic models Type: general – SubjectFull: Consumers' reviews Type: general – SubjectFull: Information processing Type: general – SubjectFull: Websites Type: general Titles: – TitleFull: Cross-platform hotel evaluation by aggregating multi-website consumer reviews with probabilistic linguistic term set and Choquet integral. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhang, Yinrunjie – PersonEntity: Name: NameFull: Liang, Decui – PersonEntity: Name: NameFull: Xu, Zeshui IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 02545330 Numbering: – Type: volume Value: 348 – Type: issue Value: 1 Titles: – TitleFull: Annals of Operations Research Type: main |
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