基于mars的供应链联盟成员可靠性判断研究

First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008) Pub Date : 2008-01-23 DOI:10.1109/WKDD.2008.114

Jiashan Song, Yong Li, Feng Ji, Haoying Sun, Ying Zhu, Cheng Peng

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引用次数: 0

摘要

供应链联盟正成为企业获取竞争优势的重要来源。如何判断SCA中成员的可靠性是SCA的核心问题，也是成员之间保持长期协作的关键问题之一。本文首次利用多元自适应样条回归(MARS)建立了构件可靠性判断模型。MARS具有客观性、有效性和鲁棒性，在一定程度上避免了对主观因素的依赖，有利于形成科学、完整的判断体系，有利于SCA稳定有效地运行。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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The MARS-Based Research about Reliability Judgement of Members of Supply Chain Alliance

Supply chain alliance (SCA) is becoming an important origin for enterprises to win competitive advantages.How to judge reliability of members in SCA is an essential problem for SCA, and is also one of the key problems for members to keep long-term collaboration. The paper constructs a model to judge the members'reliability by multivariate adaptive regression splines (MARS) for the first time. MARS has the attributes of objectivity, effectivity and robust, and it could avoid dependency on subjective factors to some extent, which contributes to a scientific, integrated judgement system,and thus helps the SCA operate steadily and effectively.

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First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008)

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