TY - JOUR
T1 - Characterization of Distributions Through Stochastic Models Under Fuzzy Random Variables
AU - Vijayabalan , D.
AU - Suresh , M.L.
AU - Kuppuswami , G.
AU - Vivekanandan , T.
AU - Kavitha , K.
AU - Geethamalini , S.
JO - Journal of Nonlinear Modeling and Analysis
VL - 2
SP - 649
EP - 665
PY - 2025
DA - 2025/04
SN - 7
DO - http://doi.org/10.12150/jnma.2025.649
UR - https://global-sci.org/intro/article_detail/jnma/24020.html
KW - Fuzzy set, random variables, stochastic orders.
AB - <p style="text-align: justify;">This paper is noteworthy because it investigates a novel method
for comparing the expectations of stochastic models in fuzzy contexts. Actuarial science and economics both depend on stochastic models. Understanding
the novel concepts of stochastic comparison of stochastic models based on the
exponential order is the main advantage of this study. We solved the preservation properties and theorem, created a new definition, and put the fuzzy mean
inactive time order definition into practice. Stochastic models are handled in
a variety of applications.</p>