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An Introduction to Fuzzy Linear Programming Problems: Theory, Methods and Applications

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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.

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Detail Information

Series Title

Studies in Fuzziness and Soft Computing

Call Number

006.3 KAU i

Publisher

Cham, Switzerland : Springer Cham., 2016

Collation

XV, 119

Language

English

ISBN/ISSN

978-3-319-31274-3

Classification

006.3

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

Ed. 1

Subject(s)

Artificial Intelligence
Computational Intelligence

Specific Detail Info

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Statement of Responsibility

Jagdeep Kaur, Amit Kumar

Other Information

Cataloger

umi

Source

https://link.springer.com/content/pdf/10.1007/978-3-319-31274-3.pdf?pdf=button

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