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Development of a Web-Based Multi-Criteria Decision-Making System for Ranking Computer Brands using a Weighted Sum Model

  • Unique Paper ID: 169101
  • Volume: 11
  • Issue: 6
  • PageNo: 516-524
  • Abstract:
  • In today’s world of diverse computer systems being manufactured to solve various problems, numerous distinct features designed to handle specific tasks are also being introduced. This has made it progressively difficult for users and prospective buyers to correctly identify and decide on the most optimal computer to use and buy. This paper presents a web-based multi-criteria decision-making model for ranking computer brands using the Weighted Sum Model (WSM). The computer brands considered in this research work are HP, Dell, and Acer, and the hardware specifications considered are Cost, Processor, Graphics Card, RAM Capacity, Storage Capacity, Screen Resolution, Battery Life, Support/Warranty, Security Features, and Connectivity. The computer brands were evaluated based on three intended uses: Gaming, Education, and Remote work. Fifty users completed the web-based survey, and each user was required to register their account and log into the developed web-based system. The users were asked to select their preferences based on a 5-point scale. Their responses formed the basis for evaluating the criteria weights and the computer brands for their different intended uses. The results showed that the Dell model was the best gaming laptop to purchase, with a weighted sum of 0.389, followed by HP (0.329) and Acer (0.28). The best laptop for education was HP, with a weighted sum of 0.396, followed by Dell (0.297), also tied with Acer (0.297). The best for Remote Work was Acer, whose weighted sum was 0.357, followed by HP (0.336) and Dell (0.297). This research demonstrates the effectiveness of the weighted sum model in providing personalized computer brand rankings based on hardware specifications for different intended uses.
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Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 6
  • PageNo: 516-524

Development of a Web-Based Multi-Criteria Decision-Making System for Ranking Computer Brands using a Weighted Sum Model

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