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| Characterization of Distributions through Stochastic Models under Fuzzy Random Variables |
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| KeyWord:Fuzzy set, random variables, stochastic orders |
| Author Name | Affiliation | | D.Vijayabalan | Department of mathematics, Vel Tech High Tech Dr.Rangarajan Dr.Sakunthala Engineering college, Avadi, Chennai-600062 | | M L Suresh | Department of mathematics, Vel Tech Rangarajan Dr.Sakunthala R\& D Institute of science and technology, Avadi, Chennai-600062 | | G.Kuppuswami | Department of mathematics, Panimalar Engineering college, Chennai-600123 | | T.Vivekanandan | Department of mathematics, Vel Tech Multi Tech Dr.Rangarajan Dr.Sakunthala Engineering college, Avadi, Chennai-600062 | | K.Kavitha | Department of mathematics, S.A. Engineering college, Chennai-601119 | | S. Geethamalini | Department of Mathematics, Sathyabama Institute of Science and Technology, Chennai-600119, Tamilnadu, India |
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| Abstract: |
| 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. |
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