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DOI: 10.14569/IJACSA.2020.0110446
PDF

Using Fuzzy-Logic in Decision Support System based on Personal Ratings

Author 1: Hmood Al-Dossari
Author 2: Sultan Alyahya

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 11 Issue 4, 2020.

  • Abstract and Keywords
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Abstract: The decision making process of selecting a service is very complex. Current recommendation systems make a generic recommendation to users regardless of their personal standards. This can result in a misleading recommendation because different users normally have different standards in evaluating services. Some of them might be harsh in their assessment while others are lenient. In this paper, we propose a standard-based approach to assist users in selecting their preferred services. To do so, we develop a judgement model to detect users’ standards then utilize them in a service recommendation process. To study the accuracy of our approach, 65536 service invocation results are collected from 3184 service users. The experimental results show that our proposed approach achieves better prediction accuracy than other approaches.

Keywords: Service recommendation; standard detection; user ratings; predication; fuzzy logic; decision support

Hmood Al-Dossari and Sultan Alyahya, “Using Fuzzy-Logic in Decision Support System based on Personal Ratings” International Journal of Advanced Computer Science and Applications(IJACSA), 11(4), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0110446

@article{Al-Dossari2020,
title = {Using Fuzzy-Logic in Decision Support System based on Personal Ratings},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.0110446},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0110446},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {4},
author = {Hmood Al-Dossari and Sultan Alyahya}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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