Delivery drone design using spherical fuzzy quality function deployment

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. © 2021, Springer Nature Switzerland AG.