A hybrid approach for fuzzy multi-attribute decision making in machine tool selection with consideration of the interactions of attributes

作者：

Highlights：

• We construct a hierarchical model for fuzzy multi-attribute decision making.

• Expert judgments are handled using fuzzy numbers in the fuzzy ANP and grey numbers in COPRAS-G.

• We present an integrated hierarchy of solutions based on the fuzzy ANP and COPRAS-G to evaluate the machine tools.

• We compare the results of fuzzy ANP and COPRAS-G with other methods (TOPSIS-G, SAW-G, GRA).

• We conduct a case study in machine tool selection at the University Lab of Manufacturing.

摘要

•We construct a hierarchical model for fuzzy multi-attribute decision making.•Expert judgments are handled using fuzzy numbers in the fuzzy ANP and grey numbers in COPRAS-G.•We present an integrated hierarchy of solutions based on the fuzzy ANP and COPRAS-G to evaluate the machine tools.•We compare the results of fuzzy ANP and COPRAS-G with other methods (TOPSIS-G, SAW-G, GRA).•We conduct a case study in machine tool selection at the University Lab of Manufacturing.

论文关键词：Machine tool selection,Multi-attribute decision-making,Fuzzy ANP,COPRAS-G

论文评审过程：Available online 24 October 2013.

论文官网地址：https://doi.org/10.1016/j.eswa.2013.10.039