5. Our advice
This method is little known to the general public. Follow the various steps of the proposed method. This method assumes that the ideas or projects in the sample are sufficiently disjointed and discriminating. In this way, the sample table will provide the maximum amount of information.
The method may give results that are not always satisfactory. In this case, repeat the method with another sample and different products.
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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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