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Advances in Fuzzy Integral and Differential Equations 2022 ed. [Hardback]

  • Formāts: Hardback, 228 pages, height x width: 235x155 mm, weight: 524 g, 14 Illustrations, color; 14 Illustrations, black and white; VI, 228 p. 28 illus., 14 illus. in color., 1 Hardback
  • Sērija : Studies in Fuzziness and Soft Computing 412
  • Izdošanas datums: 26-Jul-2021
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030737101
  • ISBN-13: 9783030737108
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  • Hardback
  • Cena: 145,08 €*
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  • Standarta cena: 170,69 €
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  • Formāts: Hardback, 228 pages, height x width: 235x155 mm, weight: 524 g, 14 Illustrations, color; 14 Illustrations, black and white; VI, 228 p. 28 illus., 14 illus. in color., 1 Hardback
  • Sērija : Studies in Fuzziness and Soft Computing 412
  • Izdošanas datums: 26-Jul-2021
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030737101
  • ISBN-13: 9783030737108
Citas grāmatas par šo tēmu:

As the title of the book suggests, the topics of this book are organized into two parts. The first part points out the fuzzy differential equations and the second one is related to the fuzzy integral equations. The book contains nine chapters that six chapters are about fuzzy differential equations and three of them are about fuzzy integral equations. In each part, the chapters’ authors are going to discuss the topics theoretically and numerically.

All researchers and students in the field of mathematical, computer, and also engineering sciences can benefit from the subjects of the book.

Chapter 1: Differential and integral calculus for fuzzy-number-valued
functions with interactivity.- Chapter 2: The Transform Method to Solve Fuzzy
Differential Equation via Differential Inclusions.- Chapter 3: Complete
controllability of fuzzy fractional evolutions equation under Fr“echet
derivative in linear correlated fuzzy spaces.- Chapter 4: Title: An
Estimation of the solution of First order Fuzzy Differential
Equations.- Chapter 5: Solution Strategy for Fuzzy Fractional Order Linear
Homogeneous Differential Equation by Caputo-H Differentiability and Its
Application in Fuzzy EOQ model.