ANFIS Based Credit Analysis for Distribution Management System

Reclaim of electricity fee, which is ordinarily called as receivables in distribution management system, is very important for public utility, especially in the circumstance of electricity market, and to predict which credit types the clients would be is one of the most important work. Based on the data of MIS and objection of credit management, a practical credit index is designed. With the ANFIS (adaptive neuro-fuzzy inference system), a discriminant model is established and tested, which has high precision and lower error-judgment rate, so the model could be used in classifying the clients according to their credit rank the result could be regards as reference for making different credit management policy in the process of sales and receivables management.