ahp-calculator

# AHP Calculator ## Overview The AHP Calculator skill implements the Analytic Hierarchy Process methodology for multi-criteria decision analysis. It enables systematic evaluation of alternatives through pairwise comparisons, consistency validation, and weight derivation, supporting both individual and group decision-making scenarios. ## Capabilities - Pairwise comparison matrix creation - Eigenvalue-based weight calculation - Consistency ratio computation - Inconsistency identification and correction guidance - Group AHP aggregation (AIJ/AIP methods) - Sensitivity analysis on weights - AHP hierarchy visualization - Report generation ## Used By Processes - Multi-Criteria Decision Analysis (MCDA) - Structured Decision Making Process - Decision Quality Assessment ## Usage ### AHP Scale The standard Saaty scale for pairwise comparisons: - 1: Equal importance - 3: Moderate importance - 5: Strong importance - 7: Very strong importance - 9: Extreme importance - 2, 4, 6, 8: Intermediate values ### Hierarchy Definition ```python # Define AHP hierarchy hierarchy = { "goal": "Select Best Vendor", "criteria": [ { "name": "Cost", "sub_criteria": ["Initial Cost", "Maintenance Cost"] }, { "name": "Quality", "sub_criteria": ["Product Quality", "Service Quality"] }, { "name": "Delivery", "sub_criteria": ["Lead Time", "Reliability"] } ], "alternativ...