dc.contributor.author | Gou, Xunjie | |
dc.contributor.author | Xu, Zeshui | |
dc.contributor.author | Zhou, Wei | |
dc.contributor.author | Herrera Viedma, Enrique | |
dc.date.accessioned | 2021-02-18T10:37:06Z | |
dc.date.available | 2021-02-18T10:37:06Z | |
dc.date.issued | 2021-01-17 | |
dc.identifier.citation | Xunjie 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.uri | http://hdl.handle.net/10481/66650 | |
dc.description.abstract | Multiple 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.sponsorship | National Natural Science Foundation of China (NSFC)
71771155 | es_ES |
dc.description.sponsorship | China Postdoctoral Science Foundation
2020M680151 | es_ES |
dc.description.sponsorship | Sichuan Postdoctoral Science special Foundation | es_ES |
dc.description.sponsorship | Sichuan University Postdoctoral Interdisciplinary Innovation Startup Foundation | es_ES |
dc.description.sponsorship | Fundamental Research Funds for the Central Universities
YJ202015 | es_ES |
dc.description.sponsorship | European Union (EU)
TIN2016-75850-R | es_ES |
dc.description.sponsorship | Sichuan Province System Science and Enterprise Development Research Center
Xq20B03 | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Routledge Journals, Taylor y Francis LTD | es_ES |
dc.rights | Atribución 3.0 España | * |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | * |
dc.subject | Risk assessment | es_ES |
dc.subject | Construction project | es_ES |
dc.subject | Investments | es_ES |
dc.subject | Prospect theory | es_ES |
dc.subject | linguistic preference orderings | es_ES |
dc.subject | Consensus | es_ES |
dc.title | The risk assessment of construction project investment based on prospect theory with linguistic preference orderings | es_ES |
dc.type | journal article | es_ES |
dc.rights.accessRights | open access | es_ES |
dc.identifier.doi | 10.1080/1331677X.2020.1868324 | |
dc.type.hasVersion | VoR | es_ES |