2024-03-29T11:44:30Zhttp://uvadoc.uva.es/oai/requestoai:uvadoc.uva.es:10324/406932021-06-23T10:07:36Zcom_10324_1146com_10324_931com_10324_894col_10324_1262
00925njm 22002777a 4500
dc
González del Pozo, Raquel
author
Dias, Luis C.
author
García Lapresta, José Luis
author
2020
Many decision problems manage linguistic information assessed through several ordered qualitative scales. In these contexts, the main problem arising is how to aggregate this qualitative information. In this paper, we present a multi-criteria decision-making procedure that ranks a set of alternatives assessed by means of a specific ordered qualitative scale for each criterion. These ordered qualitative scales can be non-uniform and be formed by a different number of linguistic terms. The proposed procedure follows an ordinal approach by means of the notion of ordinal proximity measure that assigns an ordinal degree of proximity to each pair of linguistic terms of the qualitative scales. To manage the ordinal degree of proximity from different ordered qualitative scales, we provide a homogenization process. We also introduce a stochastic approach to assess the robustness of the conclusions.
Mathematics 2020, 8(3), 458
http://uvadoc.uva.es/handle/10324/40693
10.3390/math8030458
458
3
Mathematics
8
2227-7390
Using Different Qualitative Scales in a Multi-Criteria Decision-Making Procedure