APPLYING THE ANALYTIC HIERARCHY PROCESS (AHP) TO EXPERT DOCUMENTS

Q4 Decision Sciences

International Journal of the Analytic Hierarchy Process Pub Date : 2022-03-28 DOI:10.13033/ijahp.v14i1.919

Edward J. Repetski, S. Sarkani, T. Mazzuchi

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引用次数: 3

Abstract

This paper explores an innovative technique to elicit prioritization from expert documents using the Analytic Hierarchy Process (AHP). Practitioners within domains that have a large quantity of expert literature can utilize these prior efforts to answer new questions. This method can solve some of the challenges of the AHP which include dealing with inconsistencies amplified by large numbers of options, locating experts with the availability and commitment to undergo an iterative opinion refinement process, and the speed of obtaining priorities. By extracting comparisons through rules applied to expert literature, this paper shows how prioritization for a number of options larger than 15 can be achieved using the AHP. Using the literature creation process as a means to gain consistency from a panel of experts, the extracted priorities are absolutely consistent. Further, the process can be accomplished without iterative engagement of experts which helps reduce time and cost. Overall, this unique application of the AHP provides those with access to a set of expert literature a method to quantify expert opinions in a consistent and cost-effective manner.

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层次分析法在专家文献中的应用

本文探索了一种创新技术，使用层次分析法（AHP）从专家文件中得出优先顺序。拥有大量专家文献的领域内的从业者可以利用这些先前的努力来回答新的问题。这种方法可以解决AHP的一些挑战，包括处理因大量选项而放大的不一致性，找到有能力和承诺进行迭代意见细化过程的专家，以及获得优先级的速度。通过应用于专家文献的规则提取比较，本文展示了如何使用AHP对大于15的多个选项进行优先级排序。使用文献创作过程作为从专家小组获得一致性的手段，提取的优先事项是绝对一致的。此外，该过程可以在没有专家反复参与的情况下完成，这有助于减少时间和成本。总的来说，AHP的这种独特应用为那些能够获得一组专家文献的人提供了一种以一致且具有成本效益的方式量化专家意见的方法。

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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来源期刊

International Journal of the Analytic Hierarchy Process Decision Sciences-Decision Sciences (all)

CiteScore

2.30

自引率

0.00%

发文量

审稿时长

12 weeks

期刊介绍： IJAHP is a scholarly journal that publishes papers about research and applications of the Analytic Hierarchy Process(AHP) and Analytic Network Process(ANP), theories of measurement that can handle tangibles and intangibles; these methods are often applied in multicriteria decision making, prioritization, ranking and resource allocation, especially when groups of people are involved. The journal encourages research papers in both theory and applications. Empirical investigations, comparisons and exemplary real-world applications in diverse areas are particularly welcome.