Multiple attribute decision making problem using interval-valued picture fuzzy graphs

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.

کلیدواژه ها:

Picture fuzzy graph ، interval-valued picture fuzzy graph ، complete picture fuzzy graph ، strong picture fuzzy graph ، decision making problem ، score value