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dc.contributor.authorGou, Xunjie
dc.contributor.authorXu, Zeshui
dc.contributor.authorZhou, Wei
dc.contributor.authorHerrera Viedma, Enrique 
dc.date.accessioned2021-02-18T10:37:06Z
dc.date.available2021-02-18T10:37:06Z
dc.date.issued2021-01-17
dc.identifier.citationXunjie Gou , Zeshui Xu , Wei Zhou & Enrique Herrera-Viedma (2021): The risk assessment of construction project investment based on prospect theory with linguistic preference orderings, Economic Research-Ekonomska Istraživanja, [DOI: 10.1080/1331677X.2020.1868324]es_ES
dc.identifier.urihttp://hdl.handle.net/10481/66650
dc.description.abstractMultiple experts decision-making (MEDM) can be regarded as a situation where a group of experts are invited to provide their opinions by evaluating the given alternatives, and then select the optimal alternative(s). As a useful linguistic expression model, linguistic preference orderings (LPOs) were established in which the order of alternatives and the relationships between two adjacent alternatives are fused well. Considering that prospect theory has the superiority in depicting risk attitudes (risk seeking for losses and risk aversion for gains) during the uncertain decision-making process, this paper develops a consensus model based on prospect theory to deal with MEDM problems with LPOs. Firstly, each LPO provided by expert is transformed into the responding DHLPR with complete consistency. Then, the reference point of expert is determined and the prospect preference matrix is established. Moreover, we can obtain the overall prospect consensus degree for a MEDM problem by calculating the similarity degree between individual and collective prospect preference matrix. Furthermore, a consensus improvement method is developed to complete the consensus reaching process. Finally, we apply the proposed method to deal with a practical MEDM problem involving the construction project investment, and make some comparative analyses with existing methods.es_ES
dc.description.sponsorshipNational Natural Science Foundation of China (NSFC) 71771155es_ES
dc.description.sponsorshipChina Postdoctoral Science Foundation 2020M680151es_ES
dc.description.sponsorshipSichuan Postdoctoral Science special Foundationes_ES
dc.description.sponsorshipSichuan University Postdoctoral Interdisciplinary Innovation Startup Foundationes_ES
dc.description.sponsorshipFundamental Research Funds for the Central Universities YJ202015es_ES
dc.description.sponsorshipEuropean Union (EU) TIN2016-75850-Res_ES
dc.description.sponsorshipSichuan Province System Science and Enterprise Development Research Center Xq20B03es_ES
dc.language.isoenges_ES
dc.publisherRoutledge Journals, Taylor y Francis LTDes_ES
dc.rightsAtribución 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectRisk assessment es_ES
dc.subjectConstruction projectes_ES
dc.subjectInvestments es_ES
dc.subjectProspect theoryes_ES
dc.subjectlinguistic preference orderingses_ES
dc.subjectConsensuses_ES
dc.titleThe risk assessment of construction project investment based on prospect theory with linguistic preference orderingses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.doi10.1080/1331677X.2020.1868324
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones_ES


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Atribución 3.0 España
Except where otherwise noted, this item's license is described as Atribución 3.0 España