A novel group decision-making approach based on partitioned Hamy mean operators in q-rung orthopair fuzzy context

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dc.citation.epage1408
dc.citation.spage1375
dc.citation.volume10
dc.contributor.authorRawat, Sukhwinder Singh
dc.contributor.authorKomal
dc.contributor.authorLiu, Peide
dc.contributor.authorStevic, Zeljko
dc.contributor.authorSenapati, Tapan
dc.contributor.authorMoslem, Sarbast
dc.date.accessioned2024-11-13T12:45:05Z
dc.date.available2024-11-13T12:45:05Z
dc.date.issued2024
dc.description.abstractIn multi-attribute group decision-making (MAGDM), the attributes can be placed into independent groups based on their properties through partitioning. First, the partitioned dual Hamy mean (PDHM) operator is introduced, along with its essential properties. This operator integrates these separate groups while preserving the relationships between the attributes within each group. Furthermore, the partitioned Hamy mean (PHM) and the PDHM operators are also constructed in the generalized orthopair fuzzy environment, namely the q-rung orthopair fuzzy PHM (q-ROFPHM), the q-rung orthopair fuzzy PDHM (q-ROFPDHM), and theirweighted forms. Their essential properties are verified to ensure the validity of the proposed aggregation operators (AOs). Subsequently, a newMAGDMapproach is developed, employing the proposed AOs. TheMAGDMproblem of selecting the best person is examined. Moreover, the research includes a sensitivity analysis in three directions and a comparative analysis of the proposed MAGDM approach with five different approaches. The findings indicate that applying attribute partitioning in the proposed approach mitigates the adverse impact of irrelevant attributes, leading to more feasible and reliable outcomes. Additionally, a practical case study focuses on selecting a suitable industry for investment among the five available options. This case study demonstrates the approach’s effectiveness by considering five distinct qualities and results that make the Internet industry the best place to invest. Furthermore, a comparative analysis with four similar papers is also performed, indicating that the developed method’s results are more reliable and consistent.
dc.identifier.doi10.1007/s40747-023-01201-5
dc.identifier.urihttps://vaseljena.ues.rs.ba/handle/123456789/1289
dc.language.isoen
dc.publisherSpringer
dc.sourceComplex & Intelligent Systems
dc.subjectInvestment selection · MAGDM · Partitioned Hamy mean · Partitioned dual Hamy mean · Q-rung orthopair fuzzy set
dc.titleA novel group decision-making approach based on partitioned Hamy mean operators in q-rung orthopair fuzzy context
dc.typeArticle
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Саобраћајни факултет [Научни радови] / Faculty of Transport and Traffic Engineering [Scientific papers]