A module partition method base on complex network theory

Abstract

The modularization strategy can dramatically shorten the lead time and reduce the cost of complex products development, and module partition is the basis of the modularization. In this paper, a complex network module is built to represent the complex product structure, and using interval-valued intuitionistic fuzzy sets to calculate the weights of the edges of the network model are brought to illustrate the correlation strengths among parts. Based on this, Software UCINET is given for product module partition. Moreover, the example results illustrate that the network model and UCINET performs.