Proportional hesitant 2-tuple linguistic distance measurements and extended VIKOR method: Case study of evaluation and selection of green airport plans

dc.cclicenceCC-BY-NCen
dc.contributor.authorXionga, Sheng-Hua
dc.contributor.authorChen, Zhen-Song
dc.contributor.authorChiclana, Francisco
dc.contributor.authorChin, Kwai-Sang
dc.contributor.authorSkibniewski, Miroslaw J.
dc.date.acceptance2021-10-02
dc.date.accessioned2021-12-08T11:02:46Z
dc.date.available2021-12-08T11:02:46Z
dc.date.issued2021-10-21
dc.descriptionThe file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.en
dc.description.abstractBuilding green airports can be regarded as among the most promising routes to sustainable development of ecosystems and human health. This study aims at addressing the problem of green airport plan selection under an uncertain context by developing an uncertain multiattribute group decision making (MAGDM) model. In the proposed model, the assessment information is characterized in the form of a proportional hesitant 2-tuple linguistic term set (PH2TLTS), which incorporates in binary form linguistic information that can accurately quantify subjective assessment information provided under uncertainty. The weights of assessment attributes of green airport plans are obtained automatically through a nonlinear programming model, which enhances the robustness of the decision-making method. Subsequently, on the basis of PH2TLTSs, three distance measures are proposed: the proportional hesitant 2-tuple linguistic Jaccard distance (PH2TLJD), the supplementary proportional hesitant 2-tuple linguistic normalized Minkowski distance (SPH2TLNMD) and the cluster-based proportional hesitant 2-tuple linguistic normalized Minkowski distance (CBPH2TLNMD). The TOPSIS-based comparison method proposed here can better determine the priorities of PH2TLTSs. The ranking and selection of green airport plans are derived using the PH2TL-VIKOR model. Finally, a case study accompanied by sensitivity and comparative analyses is performed to verify the rationality and feasibility of the proposed model.en
dc.funderOther external funder (please detail below)en
dc.funder.otherNational Key R&D Program of Chinaen
dc.funder.otherCivil Aviation Flight University of China Scientific Research Foundationen
dc.funder.otherTheme-based Research Projects of the Research Grants Councilen
dc.funder.otherGer/HKJRS projecten
dc.funder.otherCity University of Hong Kong SRGen
dc.identifier.citationXionga, S-H., Chen, Z-S., Chiclana, F., Skibniewski, M.J. (2021) Proportional hesitant 2-tuple linguistic distance measurements and extended VIKOR method: Case study of evaluation and selection of green airport plans. International Journal of Intelligent Systems.en
dc.identifier.doihttps://doi.org/10.1002/int.22714
dc.identifier.issn0884-8173
dc.identifier.urihttps://hdl.handle.net/2086/21531
dc.language.isoen_USen
dc.peerreviewedYesen
dc.projectidgrant no. 2018YFC0810600en
dc.projectidgrant nos. J2018-12, J2020-112en
dc.projectidgrant no. T32-101/15-Ren
dc.projectidgrant no. G-CityU103/17en
dc.projectidgrant no. 7004969en
dc.publisherWileyen
dc.researchinstituteInstitute of Artificial Intelligence (IAI)en
dc.subjectGreen airport plan selectionen
dc.subjectProportional hesitant 2-tuple linguistic term seten
dc.subjectMAGDMen
dc.subjectDistance measurementen
dc.subjectVIKORen
dc.titleProportional hesitant 2-tuple linguistic distance measurements and extended VIKOR method: Case study of evaluation and selection of green airport plansen
dc.typeArticleen

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