A new approach to investigate the effects of artificial neural networks based on bipolar complex spherical fuzzy information

Abstract Artificial neural network is revolutionizing business and everyday life, bringing us to the next level in artificial intelligence. It has a unique ability extract meaning from complex data find patterns detect trends that are too convoluted for human brain. This paper analyzes impact on different computational organizations by using innovative structure of bipolar spherical fuzzy relation which any subset Cartesian product two sets. notion comprehensive consists membership grade, abstinence non-membership grade. Furthermore, various kinds with suitable examples given some authentic results also have been proved. These newly defined structures used investigate work variety organizations. The framework compared existing field set theory prove its superiority.