关键词: 犹豫模糊互补判断矩阵, 改进的犹豫模糊加权平均算子, 乘性一致性, 云制造系统

Abstract:

The selection and evaluation of cloud manufacturing system is an important research topic in cloud manufacturing management. With respect to the complex evaluation problem of cloud manufacturing system, a Hesitant Fuzzy Complementary Judgment Matrix（HFCJM） decision-making model is constructed based on information aggregation operator and consistency improving algorithm. Firstly, owing to the existing Hesitant Fuzzy Weighted Average（HFWA） operators can not satisfy idempotency, an Improved Hesitant Fuzzy Weighted Average（I-HFWA） operator is proposed, and its idempotency is verified. Secondly, the construction method of completely multiplicative consistency HFCJM is studied, and the concept of consistency index is introduced to measure the consistency level of HFCJM. Subsequently, a cloud manufacturing system selection model based on hesitant fuzzy decision-making algorithm is established, which is followed by the discussion of the amount of information loss, the degree of consistency improvement, the computational complexity and the convergence of the model in each iteration of the proposed decision-making model. Finally, a case is used to verify the model. The experimental results show that compared with the contrast model, hesitant fuzzy decision-making algorithm has better reliability and effectiveness.

Key words: hesitant fuzzy complementary judgement matrix, improved hesitant fuzzy weighted average operator, multiplicative consistency, cloud manufacturing system