Fuzzy TOPSIS Application in Motorcycle Brand Rankings: A Preliminary Study

Fuzzy TOPSIS Application in Motorcycle Brand Rankings: A Preliminary Study


  • Zurina Kasim College of Computing, Informatics and Mathematics, Universiti Teknologi MARA Perlis Branch, Arau Campus, Perlis, Malaysia
  • Muhammad Nur Ikmal Nooralam College of Computing, Informatics and Mathematics, Universiti Teknologi MARA Perlis Branch, Arau Campus, Perlis, Malaysia




Fuzzy TOPSIS, TOPSIS, Criteria, Rank, Decision Maker, Closeness Coefficient


Due to rapid economic growth, the demand for transportation has escalated, with cars and motorcycles being the most common personal vehicles. However, motorcycles have gained favor as a mode of transportation due to their ease of maneuvering through traffic, cost-effectiveness, and lower fuel consumption. Presently, there is a multitude of motorcycle manufacturers offering a diverse array of options. This study is focused on ascertaining the top motorcycle brand based on well-defined criteria, employing the fuzzy Technique for Order Preference by Similarity to Ideal Situation (fuzzy TOPSIS). Three expert decision makers were provided with a questionnaire to rank three motorcycle brands commonly used in Malaysia based on specific criteria: price, safety, efficiency, design, performance, and durability. Computational analyses were conducted, revealing Yamaha as the top-ranked brand with a closeness coefficient (CC) value of 0.2869, closely trailed by Honda with a CC of 0.2852. Modenas, on the other hand, ranked the lowest among the brands analyzed, with a CC of 0.1447. The marginal difference of 0.017 in CC between Yamaha and Honda suggests the highly competitive scenario between these two brands. By providing a comprehensive assessment of motorcycle brands, this study seeks to layout information of consumer preferences in decision making for motorcycle purchases. The preliminary results served as aid for manufacturers or retailers of the motorcycle market.


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How to Cite

Kasim, Z., & Nooralam, M. N. I. (2024). Fuzzy TOPSIS Application in Motorcycle Brand Rankings: A Preliminary Study. Journal of Computing Research and Innovation, 9(1), 167–179. https://doi.org/10.24191/jcrinn.v9i1.404



General Computing

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