Complex Fuzzy Rough Set: An Application in Digital Marketing for Business Growth

Abstract

Two-dimensional approach is very important in real-life scenarios. To address situations where two-dimensional information is involved, the theory of complex fuzzy set (CFS) is a reliable and applicable structure. The CFS gives a more expressive structure for modeling uncertainty and imprecision where 2nd dimension is included. On the other hand, the notion of rough set is interpreted by two components that is upper and lower approximation, that provide more space in decision-making dilemmas. To get the benefits and advantages of the CFS and rough set, in this manuscript, we interpret the theory of a complex fuzzy rough set (CFRS) by employing complex fuzzy relations. We also devise the operations such as addition, product, scalar product, scalar power, union, intersection and complement for the theory of CFRS. Further, in the structure of CFRS, we devise the aggregation operators that are complex fuzzy rough weighted averaging, complex fuzzy rough ordered weighted averaging, complex fuzzy rough weighted geometric and complex fuzzy rough ordered weighted geometric. We initiate a technique identified as “weighted aggregates sum product assessment” (WAPAS) by employing devised aggregation operators in the environment of CFRS. After that, to reveal the applicability of the anticipated theory and WASPAS technique, we identify and order digital marketing for business growth. Finally, to demonstrate the superiority of the introduced concept, we compare our work to some already-existing ideas.

Keywords

• Complex fuzzy relation
• complex fuzzy rough set
• aggregation operators
• digital marketing