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Determination of Priority Weights under Multiattribute Decision-Making Situations: AHP versus Fuzzy AHP

机译:多属性决策情况下优先权的确定:层次分析法与模糊层次分析法

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摘要

The analytic hierarchy process (AHP) approach has been widely applied in multiattribute decision-making situations since being introduced in 1980. It has been believed that the AHP is appropriate to assist decision-making problems characterized by a number of interrelated factors. Recently, a derivative of the AHP, the so-called fuzzy AHP, has been developed by mixing AHP with a fuzzy set theory. This new method increasingly extends its application areas in construction management. Despite extensive use of the fuzzy AHP, little research has been conducted as to the comparability of calculated priority weight vectors by the fuzzy AHP with those by the traditional AHP. Therefore, this paper mainly focuses on the comparison of two AHP approaches by investigating weight vectors produced from a real case study. From the previous studies, four different fuzzy AHP approaches are prepared by applying different fuzzy fundamental scales and weight aggregations, and are tested to identify which method produces the most comparable results with the traditional AHP. The main findings and results obtained from the four approaches are presented and discussed in detail.
机译:自1980年问世以来,层次分析法(AHP)已广泛应用于多属性决策环境中。人们认为,层次分析法(AHP)适用于解决许多相互关联的因素引起的决策问题。近来,已经通过将AHP与模糊集理论混合而开发了AHP的衍生物,即所谓的AHP。这种新方法越来越多地扩展了其在建筑管理中的应用范围。尽管广泛使用了模糊层次分析法,但是关于模糊层次分析法与传统层次分析法计算的优先权向量的可比性研究很少。因此,本文主要通过研究实际案例中产生的权重向量,着重于两种AHP方法的比较。从先前的研究中,通过应用不同的模糊基本量表和权重集合,准备了四种不同的模糊AHP方法,并进行了测试,以确定哪种方法与传统AHP产生的结果最为可比。提出并详细讨论了从这四种方法获得的主要发现和结果。

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