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A rule-based approach for dynamic analytic hierarchy process decision-making

机译：动态分析层次过程决策的基于规则的方法

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摘要

The analytic hierarchy process (AHP) is widely used in many multi-criteria decision-making problems and has been successfully applied to many practical cases. However, the AHP is time-consuming and the decision model is not agile enough for fast changing environment. To overcome this weakness, we develop a rule-based approach for dynamic AHP decision-making in changing environment. We analyse critical factors in the AHP decision process under uncertainty and propose to encode expert knowledge for change handling using event-condition-action rules. We propose a theorem and associated method to determine the change in ordering of decision alternatives based on event-condition-action rule-induced weight updates. We demonstrate the effectiveness of our approach using a case study of the supplier selection decision-making task of the steel and iron industry in Taiwan. The study shows that our mechanism can effectively reach the same level of decision quality as expert decision maker(s).
机译：层次分析法（AHP）已广泛用于许多多准则决策问题中，并已成功应用于许多实际案例中。但是，AHP非常耗时，而且决策模型还不够敏捷，无法适应快速变化的环境。为了克服这一弱点，我们开发了基于规则的方法来在不断变化的环境中进行动态AHP决策。我们分析了不确定性下AHP决策过程中的关键因素，并建议使用事件条件-动作规则对专家知识进行编码以进行变更处理。我们提出了一个定理和相关方法来确定基于事件条件动作规则引起的权重更新的决策选择顺序的变化。我们通过对台湾钢铁行业的供应商选择决策任务进行案例研究来证明我们的方法的有效性。研究表明，我们的机制可以有效地达到与专家决策者相同的决策质量水平。

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