Configuration Evaluation of Printing Machine Based on Intuitionistic Fuzzy Entropy and TOPSIS

Abstract

Servo system plays a critical role in printing and die-cutting machinery of corrugated board (PDCMCB) with electronic line-shafting, and the configuration of servo can contribute to the performance of PDCMCB with electronic line-shafting. The paper presented the evaluation approach of servo configuration with intuitionistic fuzzy set (IFS), intuitionistic fuzzy entropy (IFE ) and technique for order preference by similarity to ideal solution (TOPSIS) to improve the effectiveness and objectivity of servo configuration evaluation of PDCMCB. IFS and IFE were used to obtain criteria weights integrating with maximal deviation entropy model, and TOPSIS was performed to calculate the final ranking order of servo configuration of PDCMCB with electronic line-shafting. Finally, an example was used to illustrate the proposed method of configuration evaluation and the results indicated the proposed approach could effectively perform servo configuration evaluation for PDCMCB.