فهرست نشریات علمی دسترسی آزاد ایران

This study addresses challenges in multiple attribute decision-making ($MADM$) within the picture fuzzy domain, particularly the lack of consideration for relationships among attributes. To overcome this, we extend the concept to an interval-valued picture graph. We propose an advanced $MADM$ method capable of effectively managing complex issues by capturing attribute connections that existing methods struggle with. The paper introduces interval-valued picture fuzzy graphs, explores their properties, and presents an algorithm based on interval-valued picture fuzzy graph to tackle these challenges. A numerical example and comparative analysis demonstrate the method's effectiveness and practicality.