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Amadi, C, Carrillo, P and Tuuli, M (2019) PPP projects: improvements in stakeholder management. Engineering, Construction and Architectural Management, 27(02), 544–60.

Huo, X, Yu, A T W, Zezhou, W and Jayantha, W M (2019) Site planning and design of green residential building projects: case studies in China. Engineering, Construction and Architectural Management, 27(02), 525–43.

Hyung, W, Kim, S and Jo, J (2019) Improved similarity measure in case-based reasoning: a case study of construction cost estimation. Engineering, Construction and Architectural Management, 27(02), 561–78.

  • Type: Journal Article
  • Keywords: Knowledge management; Construction; Decision support systems; Estimating;
  • ISBN/ISSN: 0969-9988
  • URL: https://doi.org/10.1108/ECAM-01-2019-0035
  • Abstract:
    Applied 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/approach A 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. Findings The 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/value The 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.

Johari, S and Jha, K N (2019) Challenges of attracting construction workers to skill development and training programmes. Engineering, Construction and Architectural Management, 27(02), 321–40.

Li, X, Wang, X and Lei, L (2019) The application of an ANP-Fuzzy comprehensive evaluation model to assess lean construction management performance. Engineering, Construction and Architectural Management, 27(02), 356–84.

Mellado, F, Lou, E C and Becerra, C L C (2019) Synthesising performance in the construction industry. Engineering, Construction and Architectural Management, 27(02), 579–608.

Nwaogu, J M, Chan, A P, Hon, C K and Darko, A (2019) Review of global mental health research in the construction industry. Engineering, Construction and Architectural Management, 27(02), 385–410.

Salvado, F, Almeida, N and Vale e Azevedo, A (2019) Aligning financial and functional equivalent depreciations rates of building assets. Engineering, Construction and Architectural Management, 27(02), 441–57.

Wang, X, Shi, L, Wang, B and Kan, M (2019) A method to evaluate credit risk for banks under PPP project finance. Engineering, Construction and Architectural Management, 27(02), 483–501.

Yevu, S K and Yu, A T W (2019) The ecosystem of drivers for electronic procurement adoption for construction project procurement. Engineering, Construction and Architectural Management, 27(02), 411–40.

Zarghami, S A and Gunawan, I (2019) A domain-specific measure of centrality for water distribution networks. Engineering, Construction and Architectural Management, 27(02), 341–55.

Zhou, S, Ng, S T, Lee, S H, Xu, F J and Yang, Y (2019) A domain knowledge incorporated text mining approach for capturing user needs on BIM applications. Engineering, Construction and Architectural Management, 27(02), 458–82.

Zohrehvandi, S, Vanhoucke, M, Soltani, R and Javadi, M (2019) A reconfigurable model for implementation in the closing phase of a wind turbines project construction. Engineering, Construction and Architectural Management, 27(02), 502–24.