Soft Computing

, Volume 22, Issue 6, pp 2015–2024 | Cite as

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

  • Liying Yu
  • Linyu Wang
  • Yuhang Bao
Methodologies and Application


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.


Technical attributes ratings Fuzzy QFD Interval-valued intuitionistic fuzzy sets Choquet integral 



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

Compliance with ethical standards

Conflict of interest

All the authors declare that they have no conflict of interest.

Human and animal rights

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

Informed consent

Informed consent was obtained from all individual participants included in the study.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  1. 1.School of ManagementShanghai UniversityShanghaiPeople’s Republic of China

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