Improved approach to quality function deployment based on Pythagorean fuzzy sets and application to assembly robot design evaluation

Huchang LIAO, Yinghan CHANG, Di WU, Xunjie GOU

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PDF(132 KB)
Front. Eng ›› 2020, Vol. 7 ›› Issue (2) : 196-203. DOI: 10.1007/s42524-019-0038-z
RESEARCH ARTICLE

Improved approach to quality function deployment based on Pythagorean fuzzy sets and application to assembly robot design evaluation

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Abstract

Quality function deployment (QFD) is an effective method that helps companies analyze customer requirements (CRs). These CRs are then turned into product or service characteristics, which are translated to other attributes. With the QFD method, companies could design or improve the quality of products or services close to CRs. To increase the effectiveness of QFD, we propose an improved method based on Pythagorean fuzzy sets (PFSs). We apply an extended method to obtain the group consensus evaluation matrix. We then use a combined weight determining method to integrate former weights to objective weights derived from the evaluation matrix. To determine the exact score of each PFS in the evaluation matrix, we develop an improved score function. Lastly, we apply the proposed method to a case study on assembly robot design evaluation.

Keywords

quality function deployment / Pythagorean fuzzy sets / group consensus / combined weights / assembly robot design

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Huchang LIAO, Yinghan CHANG, Di WU, Xunjie GOU. Improved approach to quality function deployment based on Pythagorean fuzzy sets and application to assembly robot design evaluation. Front. Eng, 2020, 7(2): 196‒203 https://doi.org/10.1007/s42524-019-0038-z

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