Welcome to the InfoSci Platform
Reference Hub1
Methods for Solving Fully Fuzzy Transportation Problems Based on Classical Transportation Methods

Methods for Solving Fully Fuzzy Transportation Problems Based on Classical Transportation Methods

Amit Kumar, Amarpreet Kaur
Copyright: © 2013 |Pages: 20
ISBN13: 9781466629257|ISBN10: 1466629258|EISBN13: 9781466629264
DOI: 10.4018/978-1-4666-2925-7.ch017
Cite Chapter Cite Chapter

MLA

Kumar, Amit, and Amarpreet Kaur. "Methods for Solving Fully Fuzzy Transportation Problems Based on Classical Transportation Methods." Optimizing, Innovating, and Capitalizing on Information Systems for Operations, edited by John Wang, IGI Global, 2013, pp. 328-347. https://doi.org/10.4018/978-1-4666-2925-7.ch017

APA

Kumar, A. & Kaur, A. (2013). Methods for Solving Fully Fuzzy Transportation Problems Based on Classical Transportation Methods. In J. Wang (Ed.), Optimizing, Innovating, and Capitalizing on Information Systems for Operations (pp. 328-347). IGI Global. https://doi.org/10.4018/978-1-4666-2925-7.ch017

Chicago

Kumar, Amit, and Amarpreet Kaur. "Methods for Solving Fully Fuzzy Transportation Problems Based on Classical Transportation Methods." In Optimizing, Innovating, and Capitalizing on Information Systems for Operations, edited by John Wang, 328-347. Hershey, PA: IGI Global, 2013. https://doi.org/10.4018/978-1-4666-2925-7.ch017

Export Reference

Mendeley
Favorite

Abstract

There are several methods, in literature, for finding the fuzzy optimal solution of fully fuzzy transportation problems (transportation problems in which all the parameters are represented by fuzzy numbers). In this paper, the shortcomings of some existing methods are pointed out and to overcome these shortcomings, two new methods (based on fuzzy linear programming formulation and classical transportation methods) are proposed to find the fuzzy optimal solution of unbalanced fuzzy transportation problems by representing all the parameters as trapezoidal fuzzy numbers. The advantages of the proposed methods over existing methods are also discussed. To illustrate the proposed methods a fuzzy transportation problem (FTP) is solved by using the proposed methods and the obtained results are discussed. The proposed methods are easy to understand and to apply for finding the fuzzy optimal solution of fuzzy transportation problems occurring in real life situations.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.