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An approach to evaluating the mechanical automation with intuitionistic fuzzy information

Chen Siyuan, Zhang Zhenhua

The evaluating models of mechanical automation with intuitionistic fuzzy information are investigated. Some operational laws of intuitionistic fuzzy numbers, score functions and accuracy function of intuitionistic fuzzy numbers are introduced. Based on these operational laws, we used the intuitionistic fuzzy Bonferroni mean (IFBM) operator to evaluate the mechanical automation. Finally, an illustrative example for evaluating the mechanical automation with intuitionistic fuzzy information is given to verify the developed approach.