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Journals / An International Journal of Optimization and Control: Theories & Applications (IJOCTA) / 2018 / Cilt: 8 - Sayı: 2

A simulation algorithm with uncertain random variables

Hasan DALMAN
Pages
195–200
Publication Date
2022-10-11
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

An example is also given to illustrate how to use the presented simulationalgorithm.

📌 3 Key Takeaways

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Objective & Hypothesis: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 presentedto approximate the chance distribution using pessimistic value and optimisticvalue.
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Key Findings & Data: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 presentedto approximate the chance distribution using pessimistic value and optimisticvalue.
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Conclusion & Impact:An example is also given to illustrate how to use the presented simulationalgorithm.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

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 presentedto approximate the chance distribution using pessimistic value and optimisticvalue. An example is also given to illustrate how to use the presented simulationalgorithm.

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Cite This Article

DALMAN, H. (2022). A simulation algorithm with uncertain random variables. An International Journal of Optimization and Control: Theories & Applications (IJOCTA), Cilt: 8 - Sayı: 2, 195–200. https://ajindex.com/articles/440627

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