An Introduction to Fuzzy Linear Programming Problems

Amit Kumar

ISBN 10: 3319312731 / ISBN 13: 9783319312736

Verlag: Springer International Publishing, Springer International Publishing Apr 2016, 2016

Beschreibung

Neuware -The book presents a snapshot of the state of the art in the field of fully fuzzy linear programming. The main focus is on showing current methods for finding the fuzzy optimal solution of fully fuzzy linear programming problems in which all the parameters and decision variables are represented by non-negative fuzzy numbers. It presents new methods developed by the authors, as well as existing methods developed by others, and their application to real-world problems, including fuzzy transportation problems. Moreover, it compares the outcomes of the different methods and discusses their advantages/disadvantages. As the first work to collect at one place the most important methods for solving fuzzy linear programming problems, the book represents a useful reference guide for students and researchers, providing them with the necessary theoretical and practical knowledge to deal with linear programming problems under uncertainty.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 136 pp. Englisch.

Bestandsnummer des Verkäufers 9783319312736

Bibliografische Details

• Titel: An Introduction to Fuzzy Linear Programming Problems
• Verlag: Springer International Publishing, Springer International Publishing Apr 2016
• Erscheinungsjahr: 2016
• Sprache: Englisch
• ISBN-10: 3319312731
• ISBN-13: 9783319312736
• Einband: Buch
• Zustand: Neu
• Abmessungen: 241B x 160 H x 14 T Millimeter Breite: 241 mm, Höhe: 160 mm, Tiefe: 14 mm
• Gewicht: 377 Gramm

Über diesen Titel

Inhaltsangabe

The book presents a snapshot of the state of the art in the field of fully fuzzy linear programming. The main focus is on showing current methods for finding the fuzzy optimal solution of fully fuzzy linear programming problems in which all the parameters and decision variables are represented by non-negative fuzzy numbers.  It presents new methods developed by the authors, as well as existing methods developed by others, and their application to real-world problems, including fuzzy transportation problems. Moreover, it compares the outcomes of the different methods and discusses their advantages/disadvantages. As the first work to collect at one place the most important methods for solving fuzzy linear programming problems, the book represents a useful reference guide for students and researchers, providing them with the necessary theoretical and practical knowledge to deal with linear programming problems under uncertainty.