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Soft Numerical Computing in Uncertain Dynamic Systems
book

Soft Numerical Computing in Uncertain Dynamic Systems

by Tofigh Allahviranloo, Witold Pedrycz
August 2020
Intermediate to advanced
388 pages
9h 21m
English
Academic Press
Content preview from Soft Numerical Computing in Uncertain Dynamic Systems

Index

Note: Page numbers followed by f indicate figures, and t indicate tables.

A

Absolutely convergence 115–117, 116–117f
Addition 48
Ambiguity 3
Analytical solution, of fuzzy heat equation 334–351

B

Bimathematic two-compartment model 
homogeneous fuzzy linear differential systems 190–191, 190f
nonhomogeneous fuzzy linear differential systems 193–195, 193–194f
Biomathematic three-compartment model 191–192, 191f

C

Canonical Liu process, uncertain process 128–129
Caputo gH-differentiability 293–296
Caputo-Katugampola derivative 301–318
Caputo-Katugampola gH-fractional derivative 296–301
Cauchy’s fuzzy mean value theorem 91–92
Chain rule 130–131
Characteristic theorem 168
fuzzy differential equations 138–139
Z-differential equations 200–201 ...
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Publisher Resources

ISBN: 9780128229941