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
- V. Seethala Devi, N. Vanjulavalli, K. Sujith, R. Surendiran, A metaheuristic optimisation algorithm-based optimal feature subset strategy that enhances the machine learning algorithm’s classifier performance , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Worku Masho, Habtamu Arega, Elias Bayou, Regasa Begna, The Effect of estrus synchronization with prostaglandin (PGF2α) hormone on reproductive performances of Bonga sheep ewes flushed with different local forages in Kaffa zone, Ethiopia , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Akshay J., G. Mahesh Kumar, B. H. Manjunath, Optimizing durability of the thin white topping applying Taguchi method using desirability function , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Bayelign A. Zelalem, Ayalew Ali, BRICS and South African economic growth: Implications for Ethiopia, the new BRICS member , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Neerav Nishant, Nisha Rathore, Vinay Kumar Nassa, Vijay Kumar Dwivedi, Thulasimani T, Surrya Prakash Dillibabu, Integrating machine learning and mathematical programming for efficient optimization of electric discharge machining technique , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Vijetna Singh, Alka Thakur, ECOLOGICAL ENGINEERING OF MICROALGAE FOR ENHANCED ENERGY PRODUCTION , The Scientific Temper: Vol. 8 No. 1&2 (2017): The Scientific Temper
- Kailash Naghera, Jay Talati, Riddhi Sanghvi, A Study on determinants of financial literacy and its impact on investment decisions , The Scientific Temper: Vol. 15 No. spl-2 (2024): The Scientific Temper
- Damtew Girma, Addisalem Mebratu, Fresew Belete, Response of potato (Solanum tuberosum L.) varieties to blended NPSB fertilizer rates on tuber yield and quality parameters in Gummer district, Southern Ethiopia , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Vandana, Ambrish Pandey, Comparative analysis of print contrast of hybrid modulated digitally modulated screening on different grades of paper , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Isreal zewide, Abde S. Hajigame, Wondwosen Wondimu, Kibinesh Adimasu, Response of Bread Wheat (Triticum aestivum L.) Varieties to Blended NPSB Fertilizer Levels in Sori Saylem District, South-West Ethiopia , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
<< < 7 8 9 10 11 12 13 14 15 16 > >>
You may also start an advanced similarity search for this article.
