Risk assessment in project management by a graph-theory-based group decision making method with comprehensive linguistic preference information Fang, Ran Herrera Viedma, Enrique Risk assessment Project management Generalised probabilistic linguistic preference relation Graph Theory Group decision making Probability cutting method The work was supported by the National Natural Science Foundation of China (71971145, 71771156, 72171158), the Andalusian Government under Project P20-00673, and also by the Spanish State Research Agency under Project PID2019-103880RB-I00/AEI/10.13039/501100011033. Risk assessment is a vital part in project management. It is possible that experts may provide comprehensive linguistic preference information in distinct forms with respect to different aspects of the risk assessment problem in investment management. It is a challenge to model and deal with comprehensive linguistic preference assessments in multiple forms given by experts. In this regard, this paper defines the generalised probabilistic linguistic preference relation (GPLPR) to represent different forms of linguistic preference information in a unified structure. Then, a probability cutting method is proposed to simplify the representation of a GPLPR. Afterwards, a graph-theory-based method is developed to improve the consistency degree of a GPLPR. A group decision making method with GPLPRs is then proposed to carry on the risk assessment in project management. Discussions regarding the comparative analysis and managerial insights are given. 2022-06-08T06:27:37Z 2022-06-08T06:27:37Z 2022-05-23 info:eu-repo/semantics/article Ran Fang... [et al.] (2022): Risk assessment in project management by a graph-theory-based group decision making method with comprehensive linguistic preference information, Economic Research-Ekonomska Istraživanja, DOI: [10.1080/1331677X.2022.2070772] http://hdl.handle.net/10481/75318 10.1080/1331677X.2022.2070772 eng http://creativecommons.org/licenses/by/3.0/es/ info:eu-repo/semantics/openAccess Atribución 3.0 España Taylor & Francis