Population growth equation by fuzzy common integral transforms

ABSTRACT

In this work, three famous different fuzzy integral transforms have been attempted to evaluate the exact solution of fuzzy equation based on fuzzy convolution Volterra integral equation of the second kind due to the fact that such transforms reduce the integral problem to algebraic problem. Moreover, this article examines three aspects, a brief conversation about the classification of integral equations, some important instruments as well as a real-world problem related with population growth is considered. Population growth increases due to the increase in the number of humans. For better understanding of the growth meaning, we can relate it with renewal and industrialization, more precisely, when food, water, energy and medical care become more available. As an expectation for the growth in population, however, due to the Covid-19 pandemic, millions of people worldwide have died since 2020. It has increased to 8.5 billion by 2030 and the global population will reach 9.7 billion in 2050, whereas 10.9 billion in 2100 [11]. In order to address population growth equation, three common fuzzy transforms are used for estimating its exact solution. [ FROM AUTHOR] Copyright of Journal of Interdisciplinary Mathematics is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)