A New "Intersection" Method for Multi-Objective Optimization in Material Selection

Till now the previous methods for multi-objective optimization adopt "additive" algorithm normalized evaluation indexes, which has inherent shortcoming of taking form "union" in viewpoint set theory. In fact, "simultaneous multiple indexes" should be more appropriate to take "intersection" indexes respects theory and "joint probability" probability this paper, a new concept favorable is proposed reflect degree candidate material selection; All property indicators are divided into beneficial or unbeneficial types Each indicator correlates partial quantitatively, total product all probabilities viewpoints theory, sole decisive index competitive selection process. Results application examples indicate validity method.