The Concept of a Knowledge Base to Aid in Cost Estimating of Sports Facilities

Aleksandra Radziejowska; Krzysztof Zima

Tytuły

Abstrakt

Background. Reasoning based on cases is one of the heuristic techniques which is used in making right decisions in complex situations. Inference systems typically use previously acquired knowledge which is the basis for creating tools to represent and process information. So far, there has been a wide variety of solutions developed to make inference in conditions of incomplete knowledge, but this process appears in very few studies related to civil engineering.

Research aims. This article will provide a concept of the model of knowledge base and a method of describing sports facilities. The cost estimation model will be based on the prices of the integrated works which, being based on the indicated system, will allow to create the module supporting cost and tender calculations.

Methodology. The authors present the main assumptions of the concept of estimating the costs of sports facilities with the use of the system of inference on the basis of cases (CBR – Case-Based Reasoning).

Key findings. The indicated method is designed to improve the accuracy of estimating the costs of planned sports investments and improve the decision-making process at the planning stage.

Background. Reasoning based on cases is one of the heuristic techniques which is used in making right decisions in complex situations. Inference systems typically use previously acquired knowledge which is the basis for creating tools to represent and process information. So far, there has been a wide variety of solutions developed to make inference in conditions of incomplete knowledge, but this process appears in very few studies related to civil engineering.

Research aims. This article will provide a concept of the model of knowledge base and a method of describing sports facilities. The cost estimation model will be based on the prices of the integrated works which, being based on the indicated system, will allow to create the module supporting cost and tender calculations.

Methodology. The authors present the main assumptions of the concept of estimating the costs of sports facilities with the use of the system of inference on the basis of cases (CBR – Case-Based Reasoning).

Key findings. The indicated method is designed to improve the accuracy of estimating the costs of planned sports investments and improve the decision-making process at the planning stage.

Słowa kluczowe

CBR, reasoning based on cases, costing

Bibliografia

An, S.-H., Kim, G., & Kang, K. (2007). A case-based reasoning cost estimating model using experience by analytic hierarchy process. Building and Environment, 42(7), 2573–2579.

Choong Wan, K., Tae Hoon, H., Chang Taek, H., & Kyo Jin K. (2010). CBR-based hybrid model for predicting a construction duration and cost based on project characteristics in multi-family housing projects. Canadian Journal of Civil Engineering, 37, 739–752.

Chou, J.-S., Peng, M., Persad, K.M., & O’Connor, J.T. (2006). Quantity-based approach to preliminary cost estimates for highway projects. Transportation Research Record, 1946, 22–30.

Dogan, S.Z., Arditi, D., & Günaydın, H.M. (2006). Determining attribute weights in a CBR model for early cost prediction of structural system. Journal of Construction Engineering and Management, 132(10), 1092–1098.

Duverlie, P., & Castelain, J.M. (1999). Cost estimation during design step: Parametric method versus case based reasoning method. International Journal of Advanced Manufacturing Technology, 15(12), 895–906.

Emsley, M.W., Lowe, D.J., Duff, R., Harding, A., & Hickson, A. (2002). Data modelling and the application of a neural network approach to the prediction of total construction costs. Construction Management and Economics, 20(6), 465.

Kempa, A. (2007). Integracja systemów ekspertowych i systemów wnioskujących na podstawie przypadków. Technologia przetwarzania wiedzy w SWO, 283–290.

Kim, G.-H., An, S.-H., & Kang, K.-I. (2004). Comparison of construction cost estimating models based on regression analysis, neural networks, and case-based reasoning. Building and Environment, 39(10), 1235–1242.

Lowe, D.J., Emsley, M.W., & Harding, A. (2006). Predicting construction cost using multiple regression techniques. Journal of Construction Engineering and Management, 132(7), 750–758.

Marzouk, M.M., & Ahmed, R.M. (2011). A case-based reasoning approach for estimating the costs of pump station projects. Journal of Advanced Research, 2(4), 289–295.

Mendes, E., Mosley, N., & Counsell, S. (2002). The Application of Casebased Reasoning to Early Web Project Cost Estimation. In: Proceedings – IEEE Computer Society’s International Computer Software and Applications Conference. Oxford, United Kingdom: Institute of Electrical and Electronics Engineers Computer Society.

Mianaei H.S., Iranmanesh S.H., & Akbari, H. (2012). Application of Case-Based Reasoning in Cost Estimation of Drilling Wells. 2012 International Conference on Industrial and Intelligent Information (ICIII 2012), IPCSIT, 31. Singapore: IACSIT Press, 186–193.

Mirończuk, M., & Maciak, T. (2013). Propozycja mieszanego przetwarzania półstrukturalnego modelu opisu zdarzeń z akcji ratowniczo-gaśniczych państwowej straży pożarnej PSP. BiTP, 29(1), 95–106.

Ociepka, P. (2011). Zastosowanie metody CBR do wspomagania procesu projektowo-konstrukcyjnego. Wybrane Problemy Inżynierskie, 2, 287–291.

Sae-Hyun, J., Moonseo, P., & Hyun-Soo, L. (2012). Case adaptation method of case-based reasoning for construction cost estimation in Korea. Journal of Construction Engineering and Management, 137(1), 43–52.

Sae-Hyun, J., Moonseo, P., & Hyun-Soo L. (2011). Cost estimation model for building projects using case-based reasoning. Canadian Journal of Civil Engineering, 38(5), 570–581.

Wrona, S., & Zadora, P. (1997). Przetwarzanie wiedzy pochodzącej z przeszłości w celu rozwiązania problemów klasyfikacyjnych. In: H. Sroka, S. Stanek (red.), Inteligentne systemy wspomagania decyzji w zarządzaniu. Transformacje systemów. Katowice: AE.

Zadora, P., & Wolny, W. (2002). Systemy wnioskujące na podstawie przypadków. Systemy wspomagania organizacji. Katowice: AE.

Informacje

Informacje: International Journal of Contemporary Management, 2015, Numer 14(3), s. 99 - 113

DOI: https://doi.org/10.4467/24498939IJCM.15.006.4308

Typ artykułu: Oryginalny artykuł naukowy

Tytuły:

Polski:

The Concept of a Knowledge Base to Aid in Cost Estimating of Sports Facilities

Angielski:

The Concept of a Knowledge Base to Aid in Cost Estimating of Sports Facilities

Autorzy

Aleksandra Radziejowska

Department of Geomechanics, Civil Engineering and Geotechnics, Faculty of Mining and Geoengineering, AGH University of Science and Technology

Krzysztof Zima

Zakład Technologii i Organizacji w Budownictwie, Wydział Inżynierii Lądowej, Politechnika Krakowska

Publikacja: 30.11.2015

Status artykułu: Otwarte

Licencja: Żadna

Udział procentowy autorów:

Aleksandra Radziejowska (Autor) - 50%

Krzysztof Zima (Autor) - 50%

Korekty artykułu:

-

Języki publikacji:

Angielski

Liczba wyświetleń: 1353

Liczba pobrań: 1367

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Tytuły

Abstrakt

Słowa kluczowe

Bibliografia

Informacje

Autorzy