Study on Fuzzy Optimization Methods Based on Fuzzy Inequity Degree

For general fuzzy optimization problem, this paper gives comparison method of fuzzy information on synthesizing effect and operation of fuzzy optimization on principal indexes transformation by distinguishing principal indexes and assistant indexes. Then based on the weakness of the existing methods for processing fuzzy constraints, this paper proposes axiom system of fuzzy inequity degree, and gives an instructive metric method. The paper establishes fuzzy optimization model based on synthesizing effect and inequity degree, and gives concrete solution scheme based on genetic algorithm and principal operation. The analysis and discussion indicate that this optimization model and solution method can effectively process decision consciousness, and is a good operation.