A simulation algorithm with uncertain random variables | Zendy

Hasan Dalman | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

A simulation algorithm with uncertain random variables

Author(s) -

Hasan Dalman

Publication year - 2018

Publication title -

an international journal of optimization and control theories and applications (ijocta)

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.287

H-Index - 6

eISSN - 2146-5703

pISSN - 2146-0957

DOI - 10.11121/ijocta.01.2018.00601

Subject(s) - randomness , random variable , algorithm , uncertainty theory , computer science , variable (mathematics) , value (mathematics) , stochastic simulation , mathematical optimization , expected value , mathematics , statistics , machine learning , mathematical analysis

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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research