@misc{10481/66650, year = {2021}, month = {1}, url = {http://hdl.handle.net/10481/66650}, 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.}, organization = {National Natural Science Foundation of China (NSFC) 71771155}, organization = {China Postdoctoral Science Foundation 2020M680151}, organization = {Sichuan Postdoctoral Science special Foundation}, organization = {Sichuan University Postdoctoral Interdisciplinary Innovation Startup Foundation}, organization = {Fundamental Research Funds for the Central Universities YJ202015}, organization = {European Union (EU) TIN2016-75850-R}, organization = {Sichuan Province System Science and Enterprise Development Research Center Xq20B03}, publisher = {Routledge Journals, Taylor y Francis LTD}, keywords = {Risk assessment}, keywords = {Construction project}, keywords = {Investments}, keywords = {Prospect theory}, keywords = {linguistic preference orderings}, keywords = {Consensus}, title = {The risk assessment of construction project investment based on prospect theory with linguistic preference orderings}, doi = {10.1080/1331677X.2020.1868324}, author = {Gou, Xunjie and Xu, Zeshui and Zhou, Wei and Herrera Viedma, Enrique}, }