AccScience Publishing / IJOCTA / Volume 8 / Issue 2 / DOI: 10.11121/ijocta.01.2018.00601
RESEARCH ARTICLE

A simulation algorithm with uncertain random variables

Hasan Dalman1*
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1 Department of Computer Engineering, Istanbul Gelisim University, Turkey
IJOCTA 2018, 8(2), 195–200; https://doi.org/10.11121/ijocta.01.2018.00601
Submitted: 5 April 2018 | Accepted: 22 April 2018 | Published: 25 April 2018
© 2018 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC-by the license) ( https://creativecommons.org/licenses/by-nc/4.0/ )
Abstract

In many situations, uncertainty and randomness concurrently occur in a system. Thus this paper presents a new concept for uncertain random variable. Also, a simulation algorithm based on uncertain random variables is presented to approximate the chance distribution using  pessimistic value and  optimistic value. An example is also given to illustrate how to use the presented simulation algorithm.

Keywords
alpha optimistic value
alpha pessimistic value
Uncertain random variables
Uncertainty theory
Simulation
Conflict of interest
The authors declare they have no competing interests.
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An International Journal of Optimization and Control: Theories & Applications, Electronic ISSN: 2146-5703 Print ISSN: 2146-0957, Published by AccScience Publishing