While AHP uses a strict top-down structure, ANP structures decision problems as a network of clusters and nodes, allowing for feedback loops and interdependencies.
The is a sophisticated multi-criteria decision-making (MCDM) method, with resources, educational materials, and practical applications provided by BPMSG (Business Performance Management Singapore) , specifically developed by Dr. Klaus D. Goepel . It serves as a generalization of the Analytic Hierarchy Process (AHP) , designed to handle complex interdependencies between decision elements that AHP cannot. Core Concepts of ANP (via BPMSG) Analytic Network Process (ANP) - BPMSG
ANP models both inner dependence (elements within a cluster) and outer dependence (influence between different clusters). While AHP uses a strict top-down structure, ANP
BPMSG provides educational content and tools for implementing ANP. AHP-ANP practical Application with Pros and Cons - BPMSG Goepel
Like AHP, ANP uses pairwise comparisons to derive priorities, but requires significantly more, making it more mathematically complex. BPMSG Resources for ANP