An analytical study of Pythagorean fuzzy fractional wave equation using multivariate Pythagorean fuzzy fourier transform under generalized Hukuhara Caputo fractional differentiability

IF 5.5 0 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Granular Computing Pub Date : 2024-01-04 DOI:10.1007/s41066-023-00440-8

Muhammad Akram, Muhammad Yousuf, T. Allahviranloo

引用次数: 0

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广义 Hukuhara Caputo 分数可微分性下利用多元毕达哥拉斯模糊傅立叶变换对毕达哥拉斯模糊分数波方程的分析研究

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来源期刊

Granular Computing Multiple-

CiteScore

10.70

自引率

23.60%

发文量

期刊介绍： Granular Computing constitutes an extensive body of knowledge, which dwells upon individual formalisms of information granules (established within various settings including set theory, interval calculus, fuzzy sets, rough sets, shadowed sets, probabilistic granules) and unifies them to form a coherent methodological and developmental environment. Granular Computing is about formation, processing and communicating information granules.