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首页> 外文期刊>International Journal of Production Research >Justification for the selection of manufacturing technologies: a fuzzy-decision-tree-based approach
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Justification for the selection of manufacturing technologies: a fuzzy-decision-tree-based approach

机译：选择制造技术的理由：基于模糊决策树的方法

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摘要

In this paper, a developed model for the justification of alternative manufacturing technologies is presented. The approach, based on fuzzy decision trees, provides a methodology capable of identifying patterns within a technology case repository to support the evaluation of manufacturing systems. Experts are highly influential individuals in the decision process; they provide support and guidance when selecting investments. The experience-oriented task is founded on previous cases or an experts' experience, and therefore difficult to express in a rational form. The concept is based on a number of characteristics of the case-based reasoning, rule induction and expert system theory. Structured around the fuzzy-decision-tree data-mining technique, the framework provides the ability of using regulated case information to act as structured experience for assisting in the decision process. Fuzzy induction extracts formal rules from a set of experience data, and the expert system philosophy computes the experience base of human expertise for problem-solving. A test case indicates the stability of the classification algorithm and verifies the applicability within the domain.
机译：在本文中，提出了替代制造技术合理性的开发模型。该方法基于模糊决策树，提供了一种能够识别技术案例存储库中的模式以支持制造系统评估的方法。专家是决策过程中很有影响力的人。他们在选择投资时提供支持和指导。以经验为导向的任务是建立在以前的案例或专家的经验之上的，因此很难以理性的形式表达出来。该概念基于案例推理，规则归纳和专家系统理论的许多特征。该框架围绕模糊决策树数据挖掘技术构建，提供了使用受监管案例信息充当帮助决策过程的结构化经验的能力。模糊归纳从一组经验数据中提取形式规则，而专家系统哲学则计算人类专业知识的经验库以解决问题。一个测试案例表明分类算法的稳定性，并验证该域内的适用性。

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