Soft Numerical Computing in Uncertain Dynamic Systems-P2P
Soft Numerical Computing in Uncertain Dynamic Systems is intended for system specialists interested in dynamic systems that operate at different time scales. The book discusses several types of errors and their propagation, covering numerical methods—including convergence and consistence properties and characteristics—and proving of related theorems within the setting of soft computing. Several types of uncertainty representation like interval, fuzzy, type 2 fuzzy, granular, and combined uncertain sets are discussed in detail. The book can be used by engineering students in control and finite element fields, as well as all engineering, applied mathematics, economics, and computer science students.

Soft Numerical Computing in Uncertain Dynamic Systems-P2P
English | 2020 | ISBN-13: 978-0128228555 | 379 Pages | PDF | 9.68 MB
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