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Maximal inequalities and some convergence theorems for fuzzy random variable
- Source :
- Kybernetika. :307-328
- Publication Year :
- 2016
- Publisher :
- Institute of Information Theory and Automation, 2016.
-
Abstract
- Some maximal inequalities for quadratic forms of independent and linearly negative quadrant dependent fuzzy random variables are established. Strong convergence of such quadratic forms are proved based on the martingale theory. A weak law of large numbers for linearly negative quadrant dependent fuzzy random variables is stated and proved.
- Subjects :
- Discrete mathematics
Inequality
media_common.quotation_subject
Theoretical Computer Science
Quadrant (plane geometry)
Fuzzy random variable
Convergence of random variables
Artificial Intelligence
Control and Systems Engineering
Quadratic form
Law of large numbers
Proofs of convergence of random variables
Applied mathematics
Electrical and Electronic Engineering
Software
Martingale theory
Information Systems
media_common
Mathematics
Subjects
Details
- ISSN :
- 1805949X and 00235954
- Database :
- OpenAIRE
- Journal :
- Kybernetika
- Accession number :
- edsair.doi...........9f06edcc9b0ddd5dce450c2997161342