Skip to main content
SpringerLink
Log in
Book cover

An Introduction to Fuzzy Linear Programming Problems

Theory, Methods and Applications

  • Book
  • © 2016

Overview

Authors:
  1. Jagdeep Kaur

    1. School of Mathematics Punjab, Thapar University, Patiala, India

    View author publications

    You can also search for this author in PubMed   Google Scholar

  2. Amit Kumar

    1. School of Mathematics Punjab, Thapar University, Patiala, India

    View author publications

    You can also search for this author in PubMed   Google Scholar

  • Offers a comprehensive review on methods for solving fully fuzzy linear programming problems
  • Compares new methods developed by the authors with existing ones
  • Discusses applications to real-life problems
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 340)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (7 chapters)

  1. Front Matter

    Pages i-xv
    Download chapter PDF

  2. State of the Art

    • Jagdeep Kaur, Amit Kumar
    Pages 1-14

  3. Non-negative Fuzzy Optimal Solution of Fully Fuzzy Linear Programming Problems with Equality Constraints

    • Jagdeep Kaur, Amit Kumar
    Pages 15-34

  4. Fuzzy Optimal Solution of Fully Fuzzy Linear Programming Problems with Equality Constrains

    • Jagdeep Kaur, Amit Kumar
    Pages 35-54

  5. Fuzzy Optimal Solution of Fully Fuzzy Linear Programming Problems with Equality Constraints Having LR Flat Fuzzy Numbers

    • Jagdeep Kaur, Amit Kumar
    Pages 55-75

  6. Fuzzy Optimal Solution of Fully Fuzzy Linear Programming Problems with Inequality Constraints Having LR Flat Fuzzy Numbers

    • Jagdeep Kaur, Amit Kumar
    Pages 77-108

  7. Unique Fuzzy Optimal Value of Fully Fuzzy Linear Programming Problems with Equality Constraints Having LR Flat Fuzzy Numbers

    • Jagdeep Kaur, Amit Kumar
    Pages 109-118

  8. Future Scope

    • Jagdeep Kaur, Amit Kumar
    Pages 119-119
Back to top

Keywords

About this book

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.

Authors and Affiliations

  • School of Mathematics Punjab, Thapar University, Patiala, India

    Jagdeep Kaur, Amit Kumar

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation