6. Mistakes to avoid
Want a very precise result: it's likely that you won't find exactly the same ranking, but it should be close.
Classify products that don't match product description criteria.
Choose products that are very close to each other: the information extracted is not maximized.
This method is very simple to use, but offers very interesting results. The application of Rough Set theory allows us to go even further, by proposing real decision rule systems.
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Mistakes to avoid
Bibliography
Z. Pawlak, Rough Sets , Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, ul. Baltycka 5, 44 100 Gliwice, Poland
J. Renaud, chapter 16 "Application des Rough Sets à la prise de décision", La Conception industrielle de produits , Vol. 3, 2008, Ingénierie de l'évaluation et de la décision, Hermes collection, Lavoisier
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