A fuzzy-decision-tree approach for manufacturing technology selection exploiting experience-based information ?
We model the experience a decision-maker would recall of previous manufacturing technology decisions. A fuzzy-decision-tree mining algorithm is proposed to justify new manufacturing decision investment projects using an experience-based approach. The methodology considers experience and intuition formed through historical cases. The model was applied to an industrial decision problem and showed encouraging results. Compared with other advanced knowledge-based decision models, it is not so mathematically complex that managers will have difficulty using them in practice.
manufacturing technology selection experience-based decision support fuzzy decision tree data mining