Application of Fuzzy Inverse Problem and Evolutionary Method in Medical Field

Abstract

Solution of composite fuzzy relational equation has been viewed as a construction tool for building a fuzzy model. However, this method poses the problem related to the low solvability of the equation. This study describes the three attempts to resolve the low solvability in the solution of composite fuzzy equation. One relates to teh alpha-cut level in the liguistic truth values in the fuzzy relation. Second relates to the evolutionary methods to confirm the observed input data with the fuzzy relational equation had no solutions. Third relates to the distinction of no solutions in the fuzzy relational equations and confirms the consistency of the fuzzy relation which the expert has developed.