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Article: Hotel selection using a modified TOPSIS-based decision support algorithm

TitleHotel selection using a modified TOPSIS-based decision support algorithm
Authors
KeywordsDecision support system
Multi-criteria decision-making
Vague set TOPSIS
Hotel selection
Online travel agencies
Issue Date2019
PublisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/dss
Citation
Decision Support Systems, 2019, v. 120, p. 95-105 How to Cite?
AbstractWhile many studies pointed out that travellers often consider a basket of factors when they are selecting their accommodation, few online travel agency websites allow the travellers to actively express their preference about the selection criteria in order to receive tailor-made recommendations in return. The absence of this feature causes travellers to spend extra effort and time to compare the hotel options themselves. This paper presents a decision support algorithm, namely Vague Set TOPSIS, to help travellers to rank the hotel options. It was found in this research that the structure and assumptions of the conventional TOPSIS methods are not suitable for handling this decision problem. Therefore, this paper is novel in providing a foundational change to the conventional TOPSIS models such that it is more applicable to hotel selection. The validity of the proposed decision support algorithm was proved via three approaches, which are mathematical proofs, computer stochastic simulation experiments and a numerical case study using data obtained from Hotels.com.
Persistent Identifierhttp://hdl.handle.net/10722/272202
ISSN
2017 Impact Factor: 3.565
2015 SCImago Journal Rankings: 2.262
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorKwok, PK-
dc.contributor.authorLau, HYK-
dc.date.accessioned2019-07-20T10:37:40Z-
dc.date.available2019-07-20T10:37:40Z-
dc.date.issued2019-
dc.identifier.citationDecision Support Systems, 2019, v. 120, p. 95-105-
dc.identifier.issn0167-9236-
dc.identifier.urihttp://hdl.handle.net/10722/272202-
dc.description.abstractWhile many studies pointed out that travellers often consider a basket of factors when they are selecting their accommodation, few online travel agency websites allow the travellers to actively express their preference about the selection criteria in order to receive tailor-made recommendations in return. The absence of this feature causes travellers to spend extra effort and time to compare the hotel options themselves. This paper presents a decision support algorithm, namely Vague Set TOPSIS, to help travellers to rank the hotel options. It was found in this research that the structure and assumptions of the conventional TOPSIS methods are not suitable for handling this decision problem. Therefore, this paper is novel in providing a foundational change to the conventional TOPSIS models such that it is more applicable to hotel selection. The validity of the proposed decision support algorithm was proved via three approaches, which are mathematical proofs, computer stochastic simulation experiments and a numerical case study using data obtained from Hotels.com.-
dc.languageeng-
dc.publisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/dss-
dc.relation.ispartofDecision Support Systems-
dc.subjectDecision support system-
dc.subjectMulti-criteria decision-making-
dc.subjectVague set TOPSIS-
dc.subjectHotel selection-
dc.subjectOnline travel agencies-
dc.titleHotel selection using a modified TOPSIS-based decision support algorithm-
dc.typeArticle-
dc.identifier.emailLau, HYK: hyklau@hku.hk-
dc.identifier.authorityLau, HYK=rp00137-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.dss.2019.02.004-
dc.identifier.scopuseid_2-s2.0-85064083091-
dc.identifier.hkuros298267-
dc.identifier.volume120-
dc.identifier.spage95-
dc.identifier.epage105-
dc.identifier.isiWOS:000468013300010-
dc.publisher.placeNetherlands-

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