Analysis of distributions using stochastic models with fuzzy random variables
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2024.15.4.06Keywords:
Fuzzy set, Random variables, Stochastic orders, Mean residual life, Hazard rate.Dimensions Badge
Issue
Section
License
Copyright (c) 2024 The Scientific Temper
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The significance of this paper lies in the investigation of a novel method for comparing the expectations of stochastic models in fuzzy settings. In order to comprehend actuarial science and economical modeling, stochastic models are necessary. The primary benefit of the paper is to comprehend the novel ideas of stochastic comparison of stochastic models built on the exponential order. We applied the fuzzy mean inactivity time order definition, solved the preservation properties and theorem, and created a new definition. Applications involving stochastic models are presented.Abstract
How to Cite
Downloads
Similar Articles
- Prakash Lakhani, Premasish Roy, Souren Koner, Deepa Nair, D. Patil, Mona Sinha, Exploring the influence of work-life balance on employee engagement in Mumbai’s real estate industry , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- Neha Verma, Beyond likes & clicks: Empowering role of social media marketing in value creation , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- Nitin J. Wange, Sachin V. Chaudhari, Koteswararao Seelam, S. Koteswari, T. Ravichandran, Balamurugan Manivannan, Algorithmic material selection for wearable medical devices a genetic algorithm-based framework with multiscale modeling , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- G. C. Sowparnika, D. A. Vijula, Modeling and control of boiler in thermal power plant using model reference adaptive control , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- Naveena Somasundaram, Vigneshkumar M, Sanjay R. Pawar, M. Amutha, Balu S, Priya V, AI-driven material design for tissue engineering a comprehensive approach integrating generative adversarial networks and high-throughput experimentation , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- K. Akila, Location-specific trusted third-party authentication model for environment monitoring using internet of things and an enhancement of quality of service , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Radha K. Jana, Dharmpal Singh, Saikat Maity, Modified firefly algorithm and different approaches for sentiment analysis , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- Vandana, PANKAJ KUMAR, Vikas Jangra, Ambrish Pandey, An empirical study on the print suitability of hybrid modulated screen and digitally modulated screen in offset printing process , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Deneshkumar V, Jebitha R, Jithu G, Multistate modeling for estimating clinical outcomes of COVID-19 patients , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- N Sasirekha, Jayakumar Karuppaiah, Yuvaraja Thangavel, KG Parthiban , Classification of mammograms by breast density , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
You may also start an advanced similarity search for this article.
