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Fuzzy soft set-based approach to prioritizing technical attributes in quality function deployment

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An Erratum to this article was published on 29 November 2012

Abstract

Quality function deployment is a planning and problem-solving tool for translating customer requirements into the technical attributes of a product. To obtain the rating order of technical attributes is a crucial step in applying quality function deployment. Based on the fuzzy soft theory proposed by Maji et al., which is a new mathematical tool to deal with uncertainties, a novel approach is proposed in this paper in order to prioritize technical attributes. We utilize the relative deviation between scores of customer requirements and their average to construct membership function in order to construct fuzzy soft sets. The weights of customer requirements and the final importance of technical attributes are obtained from fuzzy soft sets derived from raw data without other information. An illustrated example is cited to demonstrate the application of the proposed approach.

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Acknowledgments

The authors would like to thank the Editors and the anonymous referees for their valuable comments and constructive suggestions which greatly improved the quality of this paper. The work described in this paper was supported by a grant from the National Nature Science Foundation of Chinese (project no. NSFC 71272177), the funds of "Innovation Program of Shanghai Municipal Education Commission, China (project no.12ZS101)" and "Innovation Program of Shanghai University, China (project no.10-0129-10-001)".

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  1. School of Management, Shanghai University, Shanghai, 200444, China

    Zhihui Yang & Yizhen Chen

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  1. Zhihui Yang
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  2. Yizhen Chen
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Correspondence to Yizhen Chen.

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Yang, Z., Chen, Y. Fuzzy soft set-based approach to prioritizing technical attributes in quality function deployment. Neural Comput & Applic 23, 2493–2500 (2013). https://doi.org/10.1007/s00521-012-1201-1

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