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Comparison of fuzzy logic, AHP, FAHP and hybrid fuzzy AHP for new supplier selection and its performance analysis

机译:模糊逻辑,aHp,FaHp和混合模糊层次分析法在新供应商选择中的比较及其性能分析

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摘要

The supplier selection is critical towards the success of a company. This paper compares four different methods to support decision makers in selecting the most appropriate supplier. When using Fuzzy logic, the importance of each criterion gets influenced by the level of decomposition in the hierarchical model. Fuzzy logic does not have the capability to measure the level of consistency in the judgments provided by a decision maker. On the other hand, analytic hierarchy process (AHP) cannot capture subjectivity (or fuzziness) of human judgements as the verbal assessments are converted into crisp values. Fuzzy analytic hierarchy process (FAHP) is a merger of the two methods, Fuzzy logic and the Analytic Hierarchy Process (AHP), which inherits the advantages of both and, therefore, addresses the above mentioned problems. The FAHP method is useful in identifying a suitable supplier and to evaluate its performance as demonstrated in the described case study.
机译:供应商的选择对于公司的成功至关重要。本文比较了四种支持决策者选择最合适供应商的方法。使用模糊逻辑时,每个标准的重要性都会受到层次模型中分解级别的影响。模糊逻辑不具有在决策者提供的判断中测量一致性水平的能力。另一方面,随着语言评估被转换为清晰的值,层次分析法(AHP)无法捕获人类判断的主观性(或模糊性)。模糊层次分析法(FAHP)是模糊逻辑和层次分析法(AHP)两种方法的结合,继承了两者的优点,因此解决了上述问题。如所描述的案例研究所示,FAHP方法可用于确定合适的供应商并评估其性能。

著录项

  • 作者

    Ishizaka Alessio;

  • 作者单位
  • 年度 2014
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类

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