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Delivery Drone Design Using Spherical Fuzzy Quality Function Deployment

  • Elif Haktanır*
  • , Cengiz Kahraman
  • , Fatma Kutlu Gündoğdu
  • *Bu çalışma için yazışmadan sorumlu yazar
  • Altinbas University
  • Turkish National Defence University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümBölümbilirkişi

5 Atıf (Scopus)

Özet

Quality Function Deployment (QFD) is a well-known structured approach meeting customer needs through technical applications. Customer requirements (CRs) for a delivery drone design are first determined and they are tried to be satisfied by design requirements (DRs) in this chapter. Uncertainty in this process is handled by fuzzy set theory. One of the extensions of ordinary fuzzy sets is spherical fuzzy sets (SFSs) theory proposed by Kutlu Gündoğdu and Kahraman (J Intell Fuzzy Syst 36(1):337–352, 2019), which is composed of those independent parameters: membership degree, non-membership degree, and hesitancy degree, satisfying that their squared sum is equal to at most 1. We employ Spherical fuzzy QFD (SF-QFD) in the design of delivery drones. The importance ratings and global weights of CRs and improvement directions of DRs are represented by SFSs. Spherical fuzzy aggregation operators are used to aggregate the opinions of different decision makers.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıStudies in Fuzziness and Soft Computing
YayınlayanSpringer
Sayfalar399-430
Sayfa sayısı32
DOI'lar
Yayın durumuYayınlandı - 2021

Yayın serisi

AdıStudies in Fuzziness and Soft Computing
Hacim392
ISSN (Basılı)1434-9922
ISSN (Elektronik)1860-0808

Bibliyografik not

Publisher Copyright:
© 2021, Springer Nature Switzerland AG.

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