@misc{10481/75318,
year = {2022},
month = {5},
url = {http://hdl.handle.net/10481/75318},
abstract = {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.},
organization = {National Natural Science Foundation of China (NSFC)	71971145	
71771156	
72171158},
organization = {Andalusian Government	P20-00673},
organization = {Spanish Government	PID2019-103880RB-I00/AEI/10.13039/501100011033},
publisher = {Taylor & Francis},
keywords = {Risk assessment},
keywords = {Project management},
keywords = {Generalised probabilistic linguistic preference relation},
keywords = {Graph Theory},
keywords = {Group decision making},
keywords = {Probability cutting method},
title = {Risk assessment in project management by a graph-theory-based group decision making method with comprehensive linguistic preference information},
doi = {10.1080/1331677X.2022.2070772},
author = {Fang, Ran and Herrera Viedma, Enrique},
}