
As a generalization of Intuitionistic Fuzzy Sets (IFSs), q-Rung Orthopair Fuzzy Sets (q-ROFSs) provide a larger space for decision makers and can express their uncertain information with more flexibly. This article deals with the Multiple Attribute Group Decision Making (MAGDM) problem based on Interval Valued q-Rung Orthopair Fuzzy Sets. First, we introduce some new operational rules of Interval Valued q-Rung Orthopair Fuzzy Sets (IVq-ROFs), then based on these operations, some Interval Valued q-Rung Orthopair Fuzzy Hamacher Aggregation Operators (IVq-ROFHAO) such as Interval Valued q-Rung Orthopair Fuzzy Sets Hamacher Weighted Arithmetic Mean \( ( {\text{IVq}} - HWAM_{{H_{\gamma } }} ) \) are developed for IVq-ROFSs. Finally, an illustrative numerical example is presented to test the effectiveness of the proposed methods in MAGDM problems.
| 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). | 13 | |
| 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 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
