关键词: 犹豫模糊集, 决策自动化, 人机协同决策, 数据驱动

Abstract: To make full use of the information in the product evaluation data and combine it with expert experience to select an objective and reasonable product plan,the hesitant fuzzy set theory was applied to the processing of industrial product evaluation data.A machine autonomous decision-making method and two human-machine joint decision-making methods were proposed.The machine autonomous decision-making method realized unattended automated decision-making by establishing a hesitating fuzzy decision matrix for product evaluation data and using TOPSIS framework to sort schemes.According to whether the decision makers participate in the scoring of the membership grade,the human-machine joint decision-making methods in two cases were proposed,and the human-machine joint hesitant fuzzy decision matrix was constructed to realize the human-machine cooperative decision-making.Taking Baoxin strip steel product property evaluation and selection as an example,the practicability of the proposed methods was verified.

Key words: hesitant fuzzy sets, decision automation, human-machine collaborative decision, data driven