| Article ID: | iaor1998872 |
| Country: | Netherlands |
| Volume: | 88 |
| Issue: | 1 |
| Start Page Number: | 31 |
| End Page Number: | 49 |
| Publication Date: | May 1997 |
| Journal: | Fuzzy Sets and Systems |
| Authors: | Verdegay J.L., Herrera F., Herrera-Viedma E. |
| Keywords: | decision theory: multiple criteria, artificial intelligence: decision support |
A new consensus model for the consensus reaching process, in a linguistic framework, is presented in heterogeneous group decision making problems, called rational consensus model. It is guided by some linguistic consensus and linguistic consistency measures. All the measures are calculated from a set of linguistic preference relations used to provide experts' opinions. This consensus model allows more rational consensus solutions to be obtained and thus, more human consistency to be incorporated in decision support systems.