Kaur / Kacprzyk / Kumar Fuzzy Transportation and Transshipment Problems

Erscheinungsjahr 2019
ISBN: 978-3-030-26676-9
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 385, 228 Seiten, eBook

Reihe: Studies in Fuzziness and Soft Computing

This book presents a novel approach to the formulation and solution of three classes of problems: the fully fuzzy transportation problem, the fully fuzzy transshipment problem, and fully fuzzy solid transportation problem. It points out some limitations of the existing formulations and approaches, indicating some possible, conceptually and algorithmically attractive solutions to alleviate them. In particular, the book describes new conceptual and algorithmic solutions for finding the fuzzy optimal solutions of the single-objective fully fuzzy transportation problems, the fully fuzzy transshipment problems and the fully fuzzy solid transportation problems. Moreover, based on the novel concepts and solutions proposed by combining the concept of a fully fuzzy solid transportation problem and a fully fuzzy transshipment problem, it describes a new class of problems, i.e. the fully fuzzy solid trans-shipment problem, together with its fuzzy linear programming formulation and somemethods to find its fuzzy optimal solution. The book offers the readers a timely piece of literature in the field of fuzzy linear programming, and is expected to act as a source of inspiration for future research and applications.

Zielgruppe

Research

Autoren/Hrsg.

Kaur, Amarpreet

Kacprzyk, Janusz

Kumar, Amit

Inhaltsverzeichnis

Introduction.- Introduction to fuzzy sets.- Fuzzy optimization and mathematical programming.- Fully fuzzy transportation problems with trapezoidal fuzzy parameters.- Fully fuzzy transportation problems with LR flat fuzzy numbers.- Fully fuzzy transshipment problems with LR flat fuzzy parameters.- Fully fuzzy solid transportation problems with LR fuzzy parameters.- Fully fuzzy solid transshipment problems with LR flat fuzzy numbers.- Conclusions and future research directions.