A fuzzy-decision-tree approach for manufacturing technology selection exploiting experience-based information
作者：
Highlights：
• 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.
摘要
•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.
论文关键词：Experience-based decision support,Manufacturing technology selection,Fuzzy decision tree,Data mining
论文评审过程：Available online 28 May 2013.
论文官网地址：https://doi.org/10.1016/j.eswa.2013.05.047
