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Technical attributes ratings in fuzzy QFD by integrating interval-valued intuitionistic fuzzy sets and Choquet integral

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Abstract

As a customer-oriented methodology, fuzzy quality function deployment (QFD) has been widely applied to translate customer requirements into product design requirements and to improve the product quality in fuzzy environments. This paper puts forward an approach, which rates technical attributes in fuzzy QFD by integrating interval-valued intuitionistic fuzzy sets and Choquet integral under the case of considering the correlation among customer requirements. A method for converting interval-valued intuitionistic fuzzy numbers into relative weights for customer requirements is proposed. In order to reflect different attitudes toward risks from different decision makers, a score function with a degree of risk preference K and interval comparison matrices are obtained. Finally, the proposed approach is illustrated with a scenario about the process of designing steering wheel for electric vehicles.

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Notes

  1. Note: the main markets for electric vehicles are the provinces of Beijing, Shanghai, Guangdong, Jiangsu, Zhejiang and Fujian. So we average the six provinces’Per Capita GDP in 2015 as the boundary of income.

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Acknowledgements

This study was funded by the National Natural Science Foundation of China (71272177).

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Authors and Affiliations

  1. School of Management, Shanghai University, Room 403, No. 99, ShangDa Road, Shanghai, 200444, People’s Republic of China

    Liying Yu, Linyu Wang & Yuhang Bao

Authors
  1. Liying Yu
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  2. Linyu Wang
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  3. Yuhang Bao
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Correspondence to Yuhang Bao.

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This article does not contain any studies with human participants or animals performed by any of the authors.

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Communicated by V. Loia.

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Yu, L., Wang, L. & Bao, Y. Technical attributes ratings in fuzzy QFD by integrating interval-valued intuitionistic fuzzy sets and Choquet integral. Soft Comput 22, 2015–2024 (2018). https://doi.org/10.1007/s00500-016-2464-8

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