Improved Segregated Advancement (I-SA): a new method for solving full triangular fuzzy transportation problems

Muhammad Sam’An, Muhammad Sam’An and Yosza Dasril, Yosza Dasril and Chandrasekar Ramasamy, Chandrasekar Ramasamy and Nazarudin Bujang, Nazarudin Bujang and Yahya Nur Ifriza, Yahya Nur Ifriza (2022) Improved Segregated Advancement (I-SA): a new method for solving full triangular fuzzy transportation problems. INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE AND ENGINEERING MANAGEMENT. pp. 1-12.

Text J14927_0ec60d77626f6485737cfe458bc764a5.pdf Restricted to Registered users only Download (2MB) | Request a copy

Abstract

In this paper, triangular fuzzy numbers (TFN) are used to represent the uncertainty of data in the transportation problems (TP), which are referred to as fuzzy transportation problems (FTP). The main issues in the FTP are the lack of information, error of the basic trading rules, incomplete fuzzy data, and the limitations of the existing fuzzy-ranking functions which is failed to compare two TFN. Segregated advancement (SA) is a separation approach where the TFN represented by low, middle, and upper are solved part by part. The flaw of SA is that it uses the classical algorithms which are NWC, LCM, and VAM. Therefore, we proposed the improvement based on the combination of total ratio cost matrix and total difference method by column without using classical ranking functions. The first and second examples illustrate the existing methods without using the SA approach. The results show that the proposed method obtained the optimal solution of FTP, whereas the existing methods produced infeasible solution. The third example presents the limitation of existing methods along with the SA approach. The results show that the proposed method is capable in solving the third example whereas the existing approach failed to solve the said example.

Item Type:	Article
Uncontrolled Keywords:	Full triangular fuzzy transportation problems; segregated method; total ratio cost matrix; total difference method; optimal solution
Subjects:	T Technology > T Technology (General)
Divisions:	Faculty of Technology Management and Business > FPTP
Depositing User:	Mr. Mohamad Zulkhibri Rahmad
Date Deposited:	19 Jun 2024 03:57
Last Modified:	19 Jun 2024 03:57
URI:	http://eprints.uthm.edu.my/id/eprint/11200

Actions (login required)

View Item