
Fuzzy Linear Programming: Solution Techniques and Applications
Kurzinformation



inkl. MwSt. Versandinformationen
Artikel zZt. nicht lieferbar
Artikel zZt. nicht lieferbar

Beschreibung
This book presents the necessary and essential backgrounds of fuzzy set theory and linear programming, particularly a broad range of common Fuzzy Linear Programming (FLP) models and related, convenient solution techniques. These models and methods belong to three common classes of fuzzy linear programming, namely: (i) FLP problems in which all coefficients are fuzzy numbers, (ii) FLP problems in which the right-hand-side vectors and the decision variables are fuzzy numbers, and (iii) FLP problems in which the cost coefficients, the right-hand-side vectors and the decision variables are fuzzy numbers. The book essentially generalizes the well-known solution algorithms used in linear programming to the fuzzy environment. Accordingly, it can be used not only as a textbook, teaching material or reference book for undergraduate and graduate students in courses on applied mathematics, computer science, management science, industrial engineering, artificial intelligence, fuzzy information processes, and operations research, but can also serve as a reference book for researchers in these fields, especially those engaged in optimization and soft computing. For textbook purposes, it also includes simple and illustrative examples to help readers who are new to the field. von Nasseri, Seyed Hadi und Cao, Bing-Yuan und Ebrahimnejad, Ali
Produktdetails

So garantieren wir Dir zu jeder Zeit Premiumqualität.
Über den Autor
- hardcover
- 384 Seiten
- Erschienen 2020
- Wiley
- hardcover
- 350 Seiten
- Erschienen 1985
- Springer
- paperback
- 328 Seiten
- Erschienen 1994
- Springer
- Gebunden
- 334 Seiten
- Erschienen 2007
- Springer
- Kartoniert
- 272 Seiten
- Erschienen 1995
- Springer
- Kartoniert
- 432 Seiten
- Erschienen 2002
- Springer
- Hardcover -
- Erschienen 2017
- Springer
- paperback
- 356 Seiten
- Erschienen 2008
- Vieweg+Teubner Verlag