DocumentCode :
32227
Title :
Defuzzification Functionals of Ordered Fuzzy Numbers
Author :
Kosinski, Witold ; Prokopowicz, Piotr ; Rosa, Alberto
Author_Institution :
Fac. of Comput. Sci., Polish-Japanese Inst. of Inf. Technol., Warsaw, Poland
Volume :
21
Issue :
6
fYear :
2013
fDate :
Dec. 2013
Firstpage :
1163
Lastpage :
1169
Abstract :
Defuzzification functionals, which play the main role when dealing with fuzzy controllers and fuzzy inference systems, for convex as well for ordered fuzzy numbers, are discussed. Three characteristic conditions for them are formulated. It is shown that most of the known defuzzification functionals satisfy them. Motivations for introducing the extended class of convex fuzzy numbers are presented, together with operations on them.
Keywords :
fuzzy control; fuzzy reasoning; fuzzy set theory; number theory; CFN; OFN; convex fuzzy numbers; defuzzification functionals; fuzzy controllers; fuzzy inference systems; ordered fuzzy numbers; Aerospace electronics; Decision making; Equations; Fuzzy logic; Fuzzy sets; Market research; Mathematical model; Convex fuzzy numbers (CFNs); defuzzification functionals; homogeneous functions; ordered fuzzy numbers (OFNs);
fLanguage :
English
Journal_Title :
Fuzzy Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1063-6706
Type :
jour
DOI :
10.1109/TFUZZ.2013.2243456
Filename :
6422375
Link To Document :
بازگشت