New fuzzy transportation algorithm without converting fuzzy numbers

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Published: Sep 7, 2021
DOI: https://doi.org/10.52465/joscex.v2i2.41
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Muhammad Sam'an
Postgradute Student, Faculty of Technology Management and Business, Universiti Tun Hussein Onn Malaysia, Malaysia
Yahya Nur Ifriza
Department of Computer Science, Universitas Negeri Semarang, Indonesia

Abstract

The ranking function is widely used to convert fuzzy numbers to be crisp on solving fuzzy transportation problems. The converting process can indeed make it easier to play the fuzzy transportation method, but from the convenience, it causes failed in interpreting the results of converting fuzzy numbers. This is because the converting process of fuzzy numbers still has subjectivity values, so it cannot be eliminated, moreover, the ordering can cause incompatible input and output fuzzy numbers resulted. Therefore, the new fuzzy transportation method is proposed by fuzzy Analytical Hierarchy Process to order fuzzy parameters on fuzzy transportation problem without converting fuzzy numbers to crisp numbers, then Algorithm 2 until 6 is used to obtain a fuzzy optimal solution. The advantages of the new proposed method can improve the shortcomings of the existing methods, as well as relevant to solve fuzzy transportation problems in real life

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[1]
M. Sam’an and Y. N. Ifriza, “ New fuzzy transportation algorithm without converting fuzzy numbers”, J. Soft Comput. Explor., vol. 2, no. 2, pp. 67-76, Sep. 2021.
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Vol. 2 No. 2 (2021): September 2021
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