TY - JOUR
T1 - Mathematical Modeling and Evaluation of Reliability Parameters Based on Survival Possibilities under Uncertain Environment
AU - Alburaikan, Alhanouf
AU - Khalifa, Hamiden Abd El Wahed
AU - Kumar, Pavan
AU - Mirjalili, Seyedali
AU - Mekawy, Ibrahim
N1 - Funding Information:
Acknowledgement: Researchers would like to thank the Deanship of Scientific Research, Qassim University for funding the publication of this project.
Publisher Copyright:
© 2023 Tech Science Press. All rights reserved.
PY - 2023
Y1 - 2023
N2 - In this article, mathematical modeling for the evaluation of reliability is studied using two methods. One of the methods, is developed based on possibility theory. The performance of the reliability of the system is of prime concern. In view of this, the outcomes for the failure are required to evaluate with utmost care. In possibility theory, the reliability information data determined from decision-making experts are subjective. The same method is also related to the survival possibilities as against the survival probabilities. The other method is the one that is developed using the concept of approximation of closed interval including the piecewise quadratic fuzzy numbers. In this method, a decision-making expert is not sure of his/her estimates of the reliability parameters. Numerical experiments are performed to illustrate the efficiency of the suggested methods in this research. In the end, the paper is concluded with some future research directions to be explored for the proposed approach.
AB - In this article, mathematical modeling for the evaluation of reliability is studied using two methods. One of the methods, is developed based on possibility theory. The performance of the reliability of the system is of prime concern. In view of this, the outcomes for the failure are required to evaluate with utmost care. In possibility theory, the reliability information data determined from decision-making experts are subjective. The same method is also related to the survival possibilities as against the survival probabilities. The other method is the one that is developed using the concept of approximation of closed interval including the piecewise quadratic fuzzy numbers. In this method, a decision-making expert is not sure of his/her estimates of the reliability parameters. Numerical experiments are performed to illustrate the efficiency of the suggested methods in this research. In the end, the paper is concluded with some future research directions to be explored for the proposed approach.
KW - closed interval approximation
KW - failure rate
KW - piecewise quadratic fuzzy numbers
KW - possibility distribution
KW - probabilistic function
KW - Reliability function
KW - state function
KW - survival possibility
UR - http://www.scopus.com/inward/record.url?scp=85138784790&partnerID=8YFLogxK
U2 - 10.32604/cmes.2022.021815
DO - 10.32604/cmes.2022.021815
M3 - Article
AN - SCOPUS:85138784790
SN - 1526-1492
VL - 134
SP - 1943
EP - 1956
JO - CMES - Computer Modeling in Engineering and Sciences
JF - CMES - Computer Modeling in Engineering and Sciences
IS - 3
ER -