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Classification with Analytic Hierarchy Process and Fuzzy Linear Programming

机译:分类与分析层次过程和模糊线性规划

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Classification has been a classical area of interest in decision sciences. The major challenge in classification models is that it needs huge amount of data points to train the model properly and hence is not suitable for usage in many business applications where data availability is a challenge. A classification technique using fuzzy linear programming and analytic hierarchy process has been proposed which addresses this challenge in this paper for usage in the supplier selection problem.
机译:分类是决策科学的景色的景色。分类模型中的主要挑战是它需要大量的数据点来正确训练模型,因此不适合在许多业务应用程序中使用,其中数据可用性是一个挑战。已经提出了一种使用模糊线性规划和分析层次结构的分类技术,其在本文中解决了这一挑战,以便在供应商选择问题中使用。

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