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A novel AHP-TOPSIS integrated method for case-based retrieval in mechanical product design

机译：一种新的AHP-TOPSIS在机械产品设计中基于案例检索的集成方法

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Case-based Design (CBD) is an effective method in product configuration design, for which a successful retrieval of the most similar case is critical. However, conventional retrieval strategies fail to consider the interrelations between design requirements. As a result, they often arrive at a case that is not the most desirable or derive multiple cases of a close similarity level that make case-matching difficult. Based on the fundamental concepts of Analytic Hierarchy Process (AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), this research proposes an improved retrieval strategy combining both AHP and TOPSIS for mechanical product design. This method ensures the validity of the retrieval result and solves the problem of multiple similar cases. This paper further elaborates on the product configuration model, the matching algorithms and the retrieval process. At last, a case study of wheeled agricultural tractor design is applied to validate the method.
机译：基于案例的设计（CBD）是产品配置设计中的有效方法，其成功检索最相似的情况至关重要。但是，传统的检索策略未能考虑设计要求之间的相互关系。结果，它们经常到达不是最期望或获得多个案例的案例，使得难以匹配的难度相似度。基于分析层次过程（AHP）的基本概念和通过相似性与理想解决方案（TOPSIS）的顺序偏好技术，本研究提出了一种改进的检索策略，将AHP和TOPSIS用于机械产品设计。该方法确保了检索结果的有效性并解决了多种类似情况的问题。本文进一步详细说明了产品配置模型，匹配算法和检索过程。最后，应用了轮式农业拖拉机设计的案例研究来验证该方法。

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