DocumentCode
2505424
Title
Delta-equalities of Complex Fuzzy Relations
Author
Zhang, Guangquan ; Dillon, Tharam Singh ; Cai, Kai-Yuan ; Ma, Jun ; Lu, Jie
Author_Institution
Fac. of Eng. & Inf. Technol., Univ. of Technol., Sydney, NSW, Australia
fYear
2010
fDate
20-23 April 2010
Firstpage
1218
Lastpage
1224
Abstract
A complex fuzzy relation is defined as a fuzzy relation whose membership function takes values in the unit circle on a complex plane. This paper first investigates various operation properties of a complex fuzzy relation. It then defines the distance measure of two complex fuzzy relations that can measure the differences between the grades as well as the phases of two complex fuzzy relations. This distance measure is used to define δ-equalities of complex fuzzy relations that coincide with those of fuzzy relations already defined in the literature if complex fuzzy relations reduce to real-valued fuzzy relations. Two complex fuzzy relations are said to be δ-equal if the distance between them is less than 1-δ. This paper shows how various operations between complex fuzzy relations, including T-norms and S-norms, affect given δ-equalities of complex fuzzy relations. Finally, fuzzy inference is examined in the framework of delta- equalities of complex fuzzy relations.
Keywords
fuzzy reasoning; fuzzy set theory; δ-equalities; S-norms; T-norms; complex fuzzy relations; delta-equalities; distance measure; fuzzy inference; membership function; Extraterrestrial measurements; Fuzzy control; Fuzzy logic; Fuzzy sets; Fuzzy systems; Information technology; Phase measurement; Real time systems; Robustness; Space technology; Complex fuzzy set; Distance measure; Fuzzy inference; Fuzzy relations; Fuzzy set; d- equality;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Information Networking and Applications (AINA), 2010 24th IEEE International Conference on
Conference_Location
Perth, WA
ISSN
1550-445X
Print_ISBN
978-1-4244-6695-5
Type
conf
DOI
10.1109/AINA.2010.78
Filename
5474853
Link To Document