promethee-evaluator

# PROMETHEE Evaluator ## Overview The PROMETHEE Evaluator skill implements the Preference Ranking Organization Method for Enrichment Evaluation methodology for multi-criteria decision analysis. It uses outranking relations based on pairwise comparisons of alternatives, allowing for flexible preference modeling through various preference functions. ## Capabilities - Preference function selection (Usual, U-shape, V-shape, Level, Linear, Gaussian) - Unicriterion preference degree calculation - Multicriteria preference index computation - PROMETHEE I partial ranking - PROMETHEE II complete ranking - GAIA plane visualization - Walking weights sensitivity analysis - Net flow calculation ## Used By Processes - Multi-Criteria Decision Analysis (MCDA) - Vendor Selection Analysis - Resource Allocation Decisions ## Usage ### Preference Functions 1. **Usual (Type I)**: Binary preference (1 if better, 0 otherwise) 2. **U-shape (Type II)**: Indifference threshold q 3. **V-shape (Type III)**: Linear with preference threshold p 4. **Level (Type IV)**: Combination of q and p thresholds 5. **Linear (Type V)**: Linear between q and p thresholds 6. **Gaussian (Type VI)**: Normal distribution with sigma parameter ### Configuration Example ```python # Define PROMETHEE configuration config = { "alternatives": ["Alt A", "Alt B", "Alt C", "Alt D"], "criteria": [ { "name": "Cost", "weight": 0.3, "type": "cost", "preference_func...