New Product Design Using Chebyshev's Inequality Based Interval-Valued Intuitionistic Z-Fuzzy QFD Method

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Haktanir E., Kahraman C.

INFORMATICA, vol.33, no.1, pp.1-33, 2022 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 33 Issue: 1
  • Publication Date: 2022
  • Doi Number: 10.15388/22-infor476
  • Journal Name: INFORMATICA
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Compendex, INSPEC, zbMATH
  • Page Numbers: pp.1-33
  • Keywords: quality function deployment, interval-valued intuitionistic fuzzy sets, Z-fuzzy, numbers, Chebyshev's inequality, new product design, QUALITY FUNCTION DEPLOYMENT, HESITANT FUZZY, SELECTION, MODEL, OPTIMIZATION, ANP, PRIORITIZATION, IDENTIFICATION, COMPONENTS, FRAMEWORK
  • Istanbul Technical University Affiliated: Yes


In Quality function deployment (QFD) approach, customers tend to express their needs in linguistic terms rather than exact numerical values and these needs generally contain vague and imprecise information. To overcome this challenge and to use the method more effectively for complex customer-oriented design problems, this paper introduces a novel intuitionistic Z-fuzzy QFD method based on Chebyshev's inequality (CI) and applies it for a new product design. CI provides the assignment of a more objective reliability function. The reliability value is based on the maximum probability obtained from CI. Then, the expected values of lower and upper bounds of interval valued intuitionistic fuzzy (IVIF) numbers are determined. A competitive analysis among our firm and competitor firms and an integrative analysis for the different functions of QFD is presented. The proposed Z-fuzzy QFD method is applied to the design and development of a hand sanitizer for struggling with COVID-19.