New algorithms for modelling of fuzzy relational systems

This paper first introduces briefly the general methods to solve the first order fuzzy relational system of equations,then presents an algorithm which constructs the fuzzy relation column by column from the partial solutions, using a comprehensive evaluation approach. After analysing the defects of constructing system model through fuzzy relation, we propose an algorithm which uses empirical data to present the system´s responsibility in a weighty linear combinational method, which takes the possibilistic measurement as the weight. The feature of this method is that it presents the system´s responsibility without using the fuzzy relational model