Delivery Drone Design Using Spherical Fuzzy Quality Function Deployment

Elif Haktanır; Cengiz Kahraman; Fatma Kutlu Gündoğdu

doi:10.1007/978-3-030-45461-6_17

Delivery Drone Design Using Spherical Fuzzy Quality Function Deployment

Elif Haktanır^*, Cengiz Kahraman, Fatma Kutlu Gündoğdu

^*Corresponding author for this work

Department of Industrial Engineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

4 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Studies in Fuzziness and Soft Computing
Publisher	Springer
Pages	399-430
Number of pages	32
DOIs	https://doi.org/10.1007/978-3-030-45461-6_17
Publication status	Published - 2021

Publication series

Name	Studies in Fuzziness and Soft Computing
Volume	392
ISSN (Print)	1434-9922
ISSN (Electronic)	1860-0808

Bibliographical note

Publisher Copyright:
© 2021, Springer Nature Switzerland AG.

Access to Document

10.1007/978-3-030-45461-6_17

Cite this

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Delivery Drone Design Using Spherical Fuzzy Quality Function Deployment

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