Ranking motorcycle brand using Fuzzy TOPSIS

Nooralam, Muhammad Nur Ikmal and Kasim, Zurina (2023) Ranking motorcycle brand using Fuzzy TOPSIS. In: Research Exhibition in Mathematics and Computer Sciences (REMACS 6.0). Faculty of Computer and Mathematical Sciences, UiTM Cawangan Perlis, pp. 181-182. ISBN 978-629-97440-5-4

Abstract

Motorcycle have become a crucial mode of transportation, with various manufacturers offering a wide range of options. In this study, the most preferred motorcycle brand was chosen using the Fuzzy TOPSIS method. The aim is to determine the most preferable motorcycle brand in Pokok Sena, Kedah and to compare the result with previous study. In this study, three decision-makers determined the motorcycle brand according to these following criteria by Ngantung. (2013); price, safety, efficiency, design, performance, and durability. The data were collected through the distribution of a questionnaire to experts in the area of study. The obtained data were calculated using a formula and Microsoft Excel. The results show that Yamaha is ranked first among the three brands, closely followed by Honda, and Modenas. The CC values obtained for Yamaha, Honda, and Modenas are 0.2869, 0.2852, and 0.1447 respectively. The marginal difference of 0.017 in CC values between Yamaha and Honda suggests a highly competitive scenario between the two brands. By providing a comprehensive assessment of motorcycle brands, this research contributes to enhancing the understanding of buyer choices and supports the development of an effective decision­making framework in the context of motorcycle purchases.

Metadata

Item Type: Book Section
Creators:
Creators
Email / ID Num.
Nooralam, Muhammad Nur Ikmal
UNSPECIFIED
Kasim, Zurina
UNSPECIFIED
Subjects: Q Science > QA Mathematics > Fuzzy logic
Divisions: Universiti Teknologi MARA, Perlis > Arau Campus > Faculty of Computer and Mathematical Sciences
Page Range: pp. 181-182
Keywords: Fuzzy TOPSIS, ranking motorcycle brands.
Date: 2023
URI: https://ir.uitm.edu.my/id/eprint/138902
Edit Item
Edit Item

Download

[thumbnail of 138902.pdf] Text
138902.pdf

Download (50kB)

ID Number

138902

Indexing

Statistic

Statistic details