Affiliations: [a] Department of Mechanical Engineering, Collage of Engineering andIslamic Architecture, Umm Al-Qura University, Makkah, KSA | [b] Department of Mathematics, Abdul Wali Khan University Mardan, Pakistan
| [c] Department of Preparatory Year, Umm Al-Qurra University, Makkah, Saudi Arabia
Correspondence:
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Corresponding author. Muhammad Qiyas, Department of Mathematics Abdul Wali Khan University Mardan, Pakistan. E-mail: [email protected].
Abstract: This article is an advanced approach to picture fuzzy set through the application of cubic set theory. For instance, we establish the idea of the picture cubic fuzzy sets (PCFSs) theory and define several operations for PCFS. Also, presented some weighted aggregation operators under picture cubic fuzzy information, so called picture cubic fuzzy weighted averaging (PCFWA) operator, picture cubic fuzzy order weighted averaging (PCFOWA) operator, picture cubic fuzzy weighted geometric (PCFWG) operator, and picture cubic fuzzy order weighted geometric (PCFOWG) operator. Further, we study their fundamental properties and showed the relationship among these aggregation operators. In order to determine the feasibility and practicality of the mentioned new technique, we developed multi-attribute group decision -making algorithm with picture cubic fuzzy environment. Further, the developed method applied to supply chain management and for implementation, consider numerical application of supply chain management. Compared the developed approach with other preexisting aggregation operators, and we concluded that the defined technique is better, reliable and effective.
