“The monograph is well written. All the methodological issues are clearly presented and usually illustrated with small numerical examples, that allow to better understand the contents. For that reason, I can recommend this publication in particular for the researchers interested in the area of fuzzy transportation problems, but also fuzzy programing in a wider context of network optimization.” (Marcin Anholcer, zbMATH 1486.90001, 2022)

This book introduces readers to the fundamentals of transportation problems under the fuzzy environment and its extensions. It also discusses the limitations and drawbacks of (1) recently proposed aggregation operators under the fuzzy environment and its various extensions; (2) recently proposed methods for solving transportation problems under the fuzzy environment; and (3) recently proposed methods for solving transportation problems under the intuitionistic fuzzy environment. In turn, the book proposes simplified methods to overcome these limitations.  
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This book introduces readers to the fundamentals of transportation problems under the fuzzy environment and its extensions. (2) recently proposed methods for solving transportation problems under the fuzzy environment; and (3) recently proposed methods for solving transportation problems under the intuitionistic fuzzy environment.
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Chapter 1. Appropriate Weighted Averaging Aggregation Operator Under Some Extensions of the Fuzzy Environment.- Chapter 2. Mehar Method to Find a Unique Fuzzy Optimal Value of Balanced Fully Triangular Fuzzy Transportation Problems.- Chapter 3. Vaishnavi Approach for Solving Triangular Intuitionistic Transportation Problems of Type-2.- Chapter 4. JMD Approach for Solving Unbalanced Fully Trapezoidal Intuitionistic Fuzzy Transportation Problems.- Chapter 5. JMD Approach for Solving Unbalanced Fully Generalized Trapezoidal Intuitionistic Fuzzy Transportation Problems.
Les mer
This book introduces readers to the fundamentals of transportation problems under the fuzzy environment and its extensions. It also discusses the limitations and drawbacks of (1) recently proposed aggregation operators under the fuzzy environment and its various extensions; (2) recently proposed methods for solving transportation problems under the fuzzy environment; and (3) recently proposed methods for solving transportation problems under the intuitionistic fuzzy environment. In turn, the book proposes simplified methods to overcome these limitations.  
Les mer
“The monograph is well written. All the methodological issues are clearly presented and usually illustrated with small numerical examples, that allow to better understand the contents. For that reason, I can recommend this publication in particular for the researchers interested in the area of fuzzy transportation problems, but also fuzzy programing in a wider context of network optimization.” (Marcin Anholcer, zbMATH 1486.90001, 2022)
Les mer
Introduces readers to the fundamentals of transportation problems under the fuzzy environment and its extensions Proposes simplified methods to improve on existing methods Offers a reference guide for researchers working in the area of aggregation operators
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GPSR Compliance The European Union's (EU) General Product Safety Regulation (GPSR) is a set of rules that requires consumer products to be safe and our obligations to ensure this. If you have any concerns about our products you can contact us on ProductSafety@springernature.com. In case Publisher is established outside the EU, the EU authorized representative is: Springer Nature Customer Service Center GmbH Europaplatz 3 69115 Heidelberg, Germany ProductSafety@springernature.com
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Produktdetaljer

ISBN
9789811569975
Publisert
2020-08-20
Utgiver
Vendor
Springer Verlag, Singapore
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Research, P, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet

Biographical note

Dr. Akansha Mishra received her M.Sc. degree in Mathematics from Visvesvaraya National Institute of Technology, Nagpur, Maharashtra, India, in 2015, and her Ph.D. in Mathematics from Thapar Institute of Engineering & Technology, Patiala, Punjab, India, in 2019. Her main research interest is in fuzzy optimization. She has published six research papers in SCI/SCIE indexed journals, and presented another at the International Congress on Industrial and Applied Mathematics, organized by the International Council for Industrial and Applied Mathematics in Valencia, Spain on July 15–19, 2019. 

Dr. Amit Kumar is an Associate Professor at the School of Mathematics, Thapar Institute of Engineering & Technology, Patiala, Punjab, India. Holding a Ph.D. from the Indian Institute of Technology Roorkee (2008), Dr. Kumar has made significant contributions to the development of solution methods for various types of fuzzy linear programming problems, fuzzy transportation problems, fuzzy gametheory and fuzzy multi-criteria decision-making problems. He has published over 60 research papers in SCI/SCIE indexed journals, and has co-authored three books in the series “Studies in Fuzziness and Soft Computing,” published by Springer, Germany.