Analysis compares SAW and WP against TOPSIS for selecting the best gaming laptop, suggesting method reliability varies.
The increasing demand for high-performance gaming laptops requires a systematic decision-making approach to select the most suitable product. This study compares three Multi-Criteria Decision-Making (MCDM) methods: Simple Additive Weighting (SAW), Weighted Product (WP), and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to determine the best gaming laptop. A dataset of six premium laptops was evaluated based on seven criteria, including specifications, portability, and price. Numerical scoring and sensitivity analysis were applied to assess method stability. The results indicate differences in rankings produced by each method, providing insight into their reliability for supporting gaming laptop selection decisions
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Deanova et al. (2025) studied this question.
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