Fuzzy optimization problems based on inequality degree

For most of actual problems, especially about production-line optimization problems in complex manufacturing systems, it often needs to process integratedly a large amount of different Pipes of uncertain information with, complex constraint In this paper, we construct several types of fuzzy inequality degree in different ways, which basic analytical properties such as continuity and monotonicity are also considered. Then we give a formula computing the inequality degree of triangular fuzzy numbers. Furthermore, using inequality degree, we establish a. mathematical model of solving uncertain optimization problems with complex constraint. At last, through an example, we explain how to transform a fuzzy constraint, and then scheme out how to compute inequality degree and process fuzzy constraint numerically.