Prioritization of Strategies of Digital Transformation of Supply Chain Employing Bipolar Complex Fuzzy Linguistic Aggregation Operators

Digitalization has addressed all parts of organizations together with supply chain management. Innovations like installed RFID, GPS, and sensors have assisted changing their current conventional framework into more spry, adaptable, open, cooperative computerized models. A lot want to get the advantages digitalization, particularly in But here, biggest problem, that are facing is ambiguities, i.e. how select evaluate best strategy for digital transformation (SCDT), on which criteria or attribute they can assess strategies SCDT, etc. Multi-attribute decision-making (MADM) procedure finest technique find out SCDT. To handle these ambiguities making MADM technique, this study first establishes concept bipolar complex fuzzy linguistic sets (BCFLSs) its essential properties. Furthermore, we scrutinize average geometric AOs BCFLS such as weighted averaging (BCFLWA) (BCFLWG) operators along idempotency, boundedness, monotonicity After that, exhibit usefulness our established notion real life selection evaluation chain, interpret a DM explore numerical example. supremacy defined compare them certain prevailing conceptions.