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首页> 外文会议>Iran International Industrial Engineering Conference >Evaluating and Ranking Suppliers by a Multi-Attribute Decision Making Approach Under Uncertainty (Case Study: Steel Industry)
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Evaluating and Ranking Suppliers by a Multi-Attribute Decision Making Approach Under Uncertainty (Case Study: Steel Industry)

机译：在不确定性下通过多属性决策方法对供应商进行评估和排名（案例研究：钢铁行业）

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摘要

Deciding to choose a supplier is a key issue that has become a strategic goal for organizations in recent years. because of the diversity and variety of quality and quantity indicators, this decision making issue is considered as a Multi Attribute Decision Making problem. To do this, in the real world due to imprecise information, decision making is based on inaccurate information and linguistic terms; In this paper, a hybrid model of fuzzy analytical hierarchy process (FAHP)and fuzzy topsis method is presented, in the steel industry. In the first part of this model, after selecting the effective criteria and sub-criteria, in the steel industry, by using expert opinions, FAHP is used to extract the weights of the criteria and sub-criteria. In the second part of the model, the output weights of the previous stage are placed as inputs data and suppliers are ranked by Fuzzy Topsis Technique.
机译：决定选择供应商是一个关键问题，近年来已成为组织的战略目标。由于质和量指标的多样性和多样性，该决策问题被视为多属性决策问题。为此，在现实世界中，由于信息不准确，决策是基于不准确的信息和语言术语进行的；本文提出了一种钢铁行业的模糊层次分析法和模糊拓扑方法的混合模型。在该模型的第一部分中，在选择有效的标准和子标准后，在钢铁行业中，通过专家意见，使用FAHP提取标准和子标准的权重。在模型的第二部分中，将前一阶段的输出权重作为输入数据放置，并使用Fuzzy Topsis技术对供应商进行排名。

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