0
  • DE
  • EN
  • FR
  • Internationale Datenbank und Galerie für Ingenieurbauwerke

Anzeige

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

Autor(en):


Medium: Fachartikel
Sprache(n): Englisch
Veröffentlicht in: Engineering, Construction and Architectural Management, , n. 2, v. 27
Seite(n): 561-578
DOI: 10.1108/ecam-01-2019-0035
Abstrakt:

Purpose

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.

Structurae kann Ihnen derzeit diese Veröffentlichung nicht im Volltext zur Verfügung stellen. Der Volltext ist beim Verlag erhältlich über die DOI: 10.1108/ecam-01-2019-0035.
  • Über diese
    Datenseite
  • Reference-ID
    10576883
  • Veröffentlicht am:
    26.02.2021
  • Geändert am:
    26.02.2021
 
Structurae kooperiert mit
International Association for Bridge and Structural Engineering (IABSE)
e-mosty Magazine
e-BrIM Magazine