TY - CHAP
T1 - Theory and applications of fuzzy logic controller for flowing fluids
AU - Razvarz, Sina
AU - Jafari, Raheleh
AU - Gegov, Alexander
PY - 2020/10/2
Y1 - 2020/10/2
N2 - Decision-making problems in warehouse risks, supplier risks, finance, management science, industry and engineering have been usually described by means of imprecision and inaccuracy. In order to deal effectively with these types of in-formation, it is a requirement to develop a formalism for handling fuzzy numbers and Z-numbers. In this chapter, fuzzy set theory and Z-numbers and also the basic issues related to them are presented. In addition some applications of fuzzy logic for flowing fluids are given.
AB - Decision-making problems in warehouse risks, supplier risks, finance, management science, industry and engineering have been usually described by means of imprecision and inaccuracy. In order to deal effectively with these types of in-formation, it is a requirement to develop a formalism for handling fuzzy numbers and Z-numbers. In this chapter, fuzzy set theory and Z-numbers and also the basic issues related to them are presented. In addition some applications of fuzzy logic for flowing fluids are given.
UR - http://www.scopus.com/inward/record.url?scp=85092032667&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-59246-2_4
DO - 10.1007/978-3-030-59246-2_4
M3 - Chapter (peer-reviewed)
AN - SCOPUS:85092032667
SN - 9783030592455
SN - 9783030592486
T3 - Studies in Systems, Decision and Control
SP - 85
EP - 99
BT - Flow Modelling and Control in Pipeline Systems
PB - Springer
ER -