The Theory and Applications of Generalized Logistic Regression for Risk Analysis of Fuzzy States(3)—Algorithm Technique for Reduction and Reductive Incidence Matrix of Fuzzy States

The algorithm technique,analysing reduction and reductive incidence matrix of fuzzy states,is developed in this paper.This technique constitutes the base of risk analysis theory of fuzzy states,realizing reduction of trivial states,exstraction of effective information and transfor ming from state regression parameters into variate regr ession parameters.Analytical results for sampling data from a probability model,making use of the methods in this paper and SAS-software respect ively,are compared.