Modeling Visual Reasoning on Graph Using Qualitative Interpretation

Human visual reasoning and understanding are important in the study of human cognition (Pisan, 1995). It is a constituent discipline in the field of artificial intelligence. Such research study advocates to various orientations such as image processing, neural networks, parallel distributed processing, machine learning and others. Human graph recognition through subjective visualization substantially plays the role in various applications such as engineering, fluid mechanics and education