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Improved similarity measure in case-based reasoning: a case study of construction cost estimation

机译：基于案例推理的改进的相似度措施：建设成本估算的案例研究

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PurposeApplied a hybrid approach using genetic algorithms (GAs) for a case-based retrieval process in order to increase the overall improved cost accuracy for a case-based library. The paper aims to discuss this issue.Design/methodology/approachA weight optimization approach using case-based reasoning (CBR) with proposed GAs for developing the CBR model. GAs are used to investigate optimized weight generation with an application to real project cases.FindingsThe proposed CBR model can reduce errors consistently, and be potentially useful in the early financial planning stage. The authors suggest the developed CBR model can provide decision-makers with accurate cost information for assessing and comparing multiple alternatives in order to obtain the optimal solution while controlling cost.Originality/valueThe system can operate with more accuracy or less cost, and CBR can be used to better understand the effects of factor interaction and variation during the developed system's process.
机译：用基于案例的检索过程的遗传算法（气体）用途采用混合方法，以提高基于案例库的总体提高成本准确性。本文旨在讨论这个问题。使用基于案例的推理（CBR）与提出CBR模型的拟议气体，将其讨论该问题。气体用于调查使用应用于实际项目案例的应用程序的优化重量。拟议的CBR模型可以始终如一地降低误差，并在早期财务规划阶段潜在有用。作者提出了开发的CBR模型可以为决策者提供准确的成本信息，用于评估和比较多个替代方案，以便在控制成本的同时获得最佳解决方案。vircinity / Valuethe系统可以以更准确度或更少的成本运行，CBR可以是用于更好地了解发达系统过程中因子相互作用和变化的影响。

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