References
- Chou JS, O'Connor JT. Internet-based preliminary highway construction cost estimating database. Automation in Construction. 2007 Dec;17(1):65-74. https://doi.org/10.1016/j.autcon.2007.03.001
- Barraza GA, Back WE, Mata F. Probabilistic monitoring of project performance using SS-curves. Journal of Construction Engineering and Management. 2000 March;126(2):142-48. https://doi.org/10.1061/(ASCE)0733-9364(2000)126:2(142)
- Blyth K, Kaka A. A novel multiple linear regression model for forecasting s-curves. Engineering. Construction and Architectural Management. 2006;13(1):82-95. https://doi.org/10.1108/09699980610646511
- Suhanic G. Cost control banana. 30th Annual meeting of the American Association of Cost Engineers (AACE). Chicago (IL):Morgantown, WV;1986. B.1.1-6.
- Tam CM, Fang CF. Comparative cost analysis of using high performance concrete in tall building construction by artificial neural networks. ACI Structural Journal. 1999 Nov;96(6):927-36.
- Hegazy T, Ayed A. Neural network model for parametric cost estimation of highway projects. Journal of Construction Engineering and Management. 1998 June;124(3):210-8. https://doi.org/10.1061/(ASCE)0733-9364(1998)124:3(210)
- Al-Tabtabai H, Alex AP, Tantash M. Preliminary cost estimation of highway construction using neural networks. Cost Engineering. 1999 Mar;41(3):19-24.
- Wilmot CG, Mei B. Neural network modeling of highway construction costs. Journal of Construction Engineering and Management. 2005 July;131(7):765-71. https://doi.org/10.1061/(ASCE)0733-9364(2005)131:7(765)
- Chao LC, Chien CF. Estimating project s-curves using polynomial function and neural networks. Journal of Construction Engineering and Management. 2009 Mar;135(3):169-77. https://doi.org/10.1061/(ASCE)0733-9364(2009)135:3(169)
- Boussabaine AH, Kaka AP. An artificial neural network for predicting duration of construction projects. International Journal of Construction Information Technology. 1996 ;4(1):35-45.
- Boussabaine AH, Kaka AP. A neural networks approach for cost flow forecasting. Construction Management and Economics. 1998 Oct;16(4):471-9. https://doi.org/10.1080/014461998372240
- Hegazy T, Ayed A. Developing practical neural network applications using back-propagation. Computer-Aided Civil and Infrastructure Engineering. 1998 March;9(2):145-59.
- Kolodner J. Case-based reasoning. 1st ed. San Mateo (CA): Morgan Kaufmann; 1993.
- Shin KS, Han I. Case-based reasoning supported by genetic algorithms for corporate bond rating. Expert System Application. 1999 Feb;30(7):495-509.
- Kim KJ, Kim KM. Preliminary cost estimation model using case-based reasoning and genetic algorithms. Journal of Computing in Civil Engineering. 2010 Nov;24(6):499-505. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000054
- Rivard H, Fenves SJ, Gomez N. Case-based reasoning for conceptual building design, 1st International Conference on New Information Technologies for Decision Making in Civil Engineering; 1998 October; University of Quebec, Montreal, Quebec.
- Riesbeck CK, Schank RS. Inside case-based reasoning. 1st ed. NJ: Lawrence Erlbaum Associates; 1989.
- Yang J, Yau U. Applications of case-based reasoning in construction engineering and management. American Society of Civil Engineers; Proceedings of the 3rd Congress on Computing in Civil Engineering; 1996 July; Anaheim, California. NY: ASCE; 1996. 663-9.
- Ardit D, Tokdemir O. Comparison of case-based reasoning and artificial neural networks. Journal of Computing in Civil Engineering. 1999 July;13(3):162-9. https://doi.org/10.1061/(ASCE)0887-3801(1999)13:3(162)
- Aamodt A, Plaza E. Case-based reasoning: foundational issues, methodological variations, and system approaches. AI Communications. 1994;7(1):39-59.
- Saaty TL. Axiomatic foundation of the analytic hierarchy process. Management Science. 1986;32(7):841-55. https://doi.org/10.1287/mnsc.32.7.841
- Saaty TL. Concept, theory, and techniques: rank generation, preservation, and reversal in the analytic hierarchy decision process. Decision Science. 1987;18(2):157-77. https://doi.org/10.1111/j.1540-5915.1987.tb01514.x
- Saaty TL. How to make a decision: the analytic hierarchy process. European Journal of Operational Research. 1990;48(1):9-26. https://doi.org/10.1016/0377-2217(90)90057-I
- Dyer JS. Remarks on the analytic hierarchy process. Management Science. 1990;36(3):249-58. https://doi.org/10.1287/mnsc.36.3.249
- Dyer RF, Forman EH. Group decision support with the analytic hierarchy process. Decision Support Systems. 1992;8(2):99-124. https://doi.org/10.1016/0167-9236(92)90003-8
- Al-Harbi KMA. Application of the AHP in project management. International Journal of Project Management. 2007;19(1):19-27.
- Chwolka A, Raith MG. Group preference aggregation with the AHP-Implications for multiple-Issues agendas. European Journal of Operational Research. 2001 July;132(1):176-86. https://doi.org/10.1016/S0377-2217(00)00121-1
- An SH, Kim GH, Kang KI. A case-base reasoning cost estimating model using experience by analytic hierarchy process. Building and Environment. 2007 July;42(7):2573-9. https://doi.org/10.1016/j.buildenv.2006.06.007
- Podvezko V. Application of AHP Technique. Journal of Business Economics and Management. 2009 March;10(2):181-9. https://doi.org/10.3846/1611-1699.2009.10.181-189
- edineckiene M, Turskis Z, Zavadskas EK. Sustainable construction taking into account the building impact on the environment. Journal of Environmental Engineering and Landscape Management. 2010 October;18(2):118-27. https://doi.org/10.3846/jeelm.2010.14
- Zahedi F. The analytic hierarchy process-A survey of the method and its applications. Interface. 1986;16(4):96-108.
- Hacker PT, Vargas LG. The theory of ratio scale estimation: Saaty's analytic hierarchy process. Management Science. 1987 November;33(11):1383-403. https://doi.org/10.1287/mnsc.33.11.1383
- Chen WT, Chang PY, Chou K, Mortis LE. Developing a CBR-based adjudication system for fatal construction industry occupational accidents. Expert System with Applications. 2010 July;37(7):4867-80. https://doi.org/10.1016/j.eswa.2009.12.028
- Ostwald PF. Construction Cost Analysis and Estimating. 1st ed. NJ: Prentice-Hall, Inc; 2001.
- Kim GH, Kang KI. A study on a model for neural networks training using genetic algorithms for predicting cost estimates of apartment projects at the early project stage. Journal of Architectural Institute of Korea. 2003 October;19(10):133-42.
- Kim GH, Seo DS, Kang KI. Hybrid models of neural networks and genetic algorithms for predicting preliminary cost estimates. Journal of Computing in Civil Engineering. 2005 April;19(2):208-11. https://doi.org/10.1061/(ASCE)0887-3801(2005)19:2(208)
- Huang G. Cost modeling based on support vector regression for complex products during the early design phases [dissertation]. Virginia: Department of Industrial and Systems Engineering, Virginia Polytechnic Institute and State University; 2007. p. 29-34.
- Yau NJ, Yang JB. Applying case-based reasoning technique to retaining wall selection. Automation in Construction. 1998 September;7(7):271-83. https://doi.org/10.1016/S0926-5805(97)00072-1
- Koo CW, Hong TH, Hyun CT, Koo KJ. A 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. 2010 May;37(5):739-52. https://doi.org/10.1139/L10-007