AN ALGORITHIM FOR OPTIMIZINC INDEX NUMBER TABLE OF THE "MLDM"

A "double-increase" algorithm for optimizing index number table of the Maximum Likelihood Discriminating Method （MLDM） is presented in this paper. By using the algorithm the discriminating comformable rate of the index number table can be stepwisely increased as the number k（1≤k≤m） of the factors building up the index number table increases and at the end we can easily select factor combination and its index number table with the highest （or approximately highest） diseriminating com- formable rate of 2^m-1 combinations of the m factors. The results of practical examples show that the algorithm is not only simple and feasible but also very efficient.