DocumentCode :
424171
Title :
On the independence of fuzzy vectors
Author :
Liu, Yan-Kui ; Zhao, Miao
Author_Institution :
Coll. of Math. & Comput. Sci., Hebei Univ., Baoding, China
Volume :
4
fYear :
2004
fDate :
26-29 Aug. 2004
Firstpage :
2047
Abstract :
Fuzzy variable is a function from a possibility space to the real line. By analogy of the independence of random variables, there are similar terms for fuzzy variables such as unrelated fuzzy variables, noninteractive fuzzy variables, and independent fuzzy variables. The purpose of this work is to discuss the relations among these terms. Toward this end, the work first defines the marginal possibility distributions of a fuzzy vector, and then gives a simple approach to define the independent fuzzy variables. After that, the equivalence of unrelated, noninteractive, and independent fuzzy variables are proved in the framework of possibility theory.
Keywords :
fuzzy set theory; possibility theory; fuzzy variable; fuzzy vectors; marginal possibility distributions; possibility theory; Chromium; Computer science; Educational institutions; Extraterrestrial measurements; Functional programming; Linearity; Mathematics; Possibility theory; Random variables; Stochastic processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN :
0-7803-8403-2
Type :
conf
DOI :
10.1109/ICMLC.2004.1382132
Filename :
1382132
Link To Document :
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