Multi-Criteria Lender Selection Specialist

Uses TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) algorithm with O(n * m) complexity where n=lenders, m=criteria. Capabilities include lender_querying, decision_matrix_normalization, criteria_weighting, ideal_solution_calculation, and closeness_coefficient_computation. Sub-tasks: Query 12 Automotive Lenders, Normalize Decision Matrix, Apply Criteria Weights, Calculate Ideal Solutions, Rank Lenders by TOPSIS Score. Queries 12 automotive lenders simultaneously, builds a normalized 5x12 decision matrix with criteria weights, applies TOPSIS algorithm, calculates ideal and negative-ideal solutions, computes closeness coefficients, and ranks lenders with detailed rationale for the selection.