Engineering Review : International journal for publishing of original researches from the aspect of structural analysis, materials and new technologies in the field of mechanical engineering, shipbuilding, fundamental engineering sciences, computer sciences, electrical engin, Vol. 44 No. 4 - SI 2024, 2024.
Original scientific paper
https://doi.org/10.30765/er.2686
Combined plithogenic hypersoft sets in decision making on supplier selection with different MCDM approaches
Sikkanan Sudha
; Department of Mathematics, SSM Institute of Engineering and Technology, Dindigul, India
Ravi Priya
; Department of Mathematics, Sethu Institute of Technology, Madurai, India
Nivetha Martin
; Department of Mathematics, Arul Anandar College (Autonomous), Karumathur, India
*
Said Broumi
; Laboratory of Information Processing, Faculty of Science Ben M’Sik, University Hassan II, Casablanca
Florentin Smarandache
; Department of Mathematics, University of New Mexico, USA
* Corresponding author.
Abstract
Decision making methods integrated with Plithogenic sets are highly feasible and resilient in designing optimal solutions. This research work identifies the research gaps of limited applications of combined plithogenic hypersoft sets (CPHSS) and hence proposes a supplier selection decision problem with an integrated approach combining CPHSS with MCDM methods. A generalized form of Plithogenic accuracy function is used in determining the plithogenic accuracy matrix to which the prominent ranking methods of TOPSIS, ELECTRE, VIKOR and MAIRCA are applied. The proposed hybrid decision approach is illustrated using supplier selection decision problem as a case study. The ranking results are compared with normal and combined plithogenic hypersoft sets. The sensitivity analysis performed exhibits the efficacy of combined plithogenic hypersoft sets in representing the realistic data. This integrated decision framework contributes to Plithogenic applications of handling complex decision systems.
Keywords
combined plithogenic hypersoft sets; plithogenic sets; supplier selection; MCDM
Hrčak ID:
324612
URI
Publication date:
23.12.2024.
Visits: 0 *