
Abstract The focus of this paper is on group decision making (GDM) problems with interval-valued Atanassov intuitionistic fuzzy preference relations (IV-AIFPRs). A new consistency index of an AIFPR is introduced to check the additive consistency degree of an AIFPR. Then, an additive consistency definition and an acceptable additive consistency definition of an IV-AIFPR are respectively defined by splitting an IV-AIFPR into two AIFPRs. For several IV-AIFPRs with unacceptably additive consistency, a goal program-based approach is proposed to improve their consistency simultaneously. Employing consistency degrees of individual IV-AIFPRs, decision makers’ (DMs’) weights are determined objectively and applied to integrate individual IV-AIFPRs into a collective one. Further, it is proved that the collective IV-AIFPR is acceptably additive consistent if all individual IV-AIFPRs are acceptably additive consistent. To derive priority weights of alternatives, an Atanassov intuitionistic fuzzy programming model is established and solved by three approaches considering DMs’ different risk attitudes. Thus, a novel method is put forward for GDM with IV-AIFPRs. A material selection example is analyzed to verify the effectiveness of the proposed method.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 45 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
