A group decision-making method with fuzzy set theory and genetic algorithms in quality function deployment

作者：Liu Chin Hung^*

来源：Quality and Quantity, 2010, 44(6): 1175-1189.

DOI：10.1007/s11135-009-9304-1

• House of quality
• Customer requirements
• Technical characteristics
• Group decision-making
• Fuzzy set theory
• Genetic algorithms

Quality function deployment (QFD) has been developed by Toyota Motor Corporation in order to reduce time and shorten design times. QFD is composed of a set of matrices referred to as the house of quality (HOQ). A HOQ matrix can help the cross-functional team to translate customer requirements (CRs) into engineering goals. The importance of CRs and the relationships between CRs and technical characteristics (TCs) are obtained by a group of people with vague and fuzzy decision-making processes in the HOQ. In the conditions, a group decision-making method by using the combination of fuzzy set theory and genetic algorithms (GAs) can be used in QFD to determine the importance of each TC. Besides, a numerical example is illustrated to show that this group decision-making method by using the combination of fuzzy set theory and GAs can be reliably and precisely applied in QFD including TCs at the two-level hierarchy with the consideration of some constraints regarding budget and time limits of TCs for prioritizing TCs to effectively make decisions with fuzziness and ambiguousness.

• 出版日期2010-10