Authors:
- Describes new solutions for fully fuzzy transportation and transshipment problems
- Discusses way to avoid limitations of the existing methods
- Describes a new class of problem such as the fully fuzzy solid transshipment problem
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 385)
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Table of contents (9 chapters)
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Front Matter
About this book
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.
Keywords
Authors and Affiliations
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Irving K. Barber School of Arts and Sciences, The University of British Columbia, Kelowna, Canada
Amarpreet Kaur
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Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland
Janusz Kacprzyk
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School of Mathematics, Thapar Institute of Engineering and Technology, Patiala, India
Amit Kumar
Bibliographic Information
Book Title: Fuzzy Transportation and Transshipment Problems
Authors: Amarpreet Kaur, Janusz Kacprzyk, Amit Kumar
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-3-030-26676-9
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-26675-2Published: 06 November 2019
Softcover ISBN: 978-3-030-26678-3Published: 06 November 2020
eBook ISBN: 978-3-030-26676-9Published: 25 October 2019
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: IX, 228
Number of Illustrations: 18 b/w illustrations, 1 illustrations in colour
Topics: Computational Intelligence, Transportation Technology and Traffic Engineering, Operations Research, Management Science, Operations Research/Decision Theory