TY - GEN
T1 - Project selection by using fuzzy topsis method
T2 - 10th International Fuzzy Logic and Intelligent Technologies inNuclear Science Conference, FLINS 2012
AU - Bolat, Bersam
AU - Temur, Gül Tekin
AU - Dursun, Pinar
AU - Onursal, Burç
PY - 2012
Y1 - 2012
N2 - Many companies operating in construction sector have the projects resulted with failure because of making unsuccessful decisions on project selection. The goal of this study is to propose a decision making approach for project selection by taking strategic goals and organizational expectations into consideration for the firms operating in construction sector. In this study, project selection criteria have been determined by discussing with the firms producing similar type of houses and by considering the related literature. Then a real application has been achieved in a large scale construction company. In the proposed model, a fuzzy technique for order preference by similarity to ideal solution (TOPSIS) method is used for evaluating and prioritizing the candidate construction projects. Consequently, it is determined that proposed model gives successful results and may help decision makers choose the best alternative projects.
AB - Many companies operating in construction sector have the projects resulted with failure because of making unsuccessful decisions on project selection. The goal of this study is to propose a decision making approach for project selection by taking strategic goals and organizational expectations into consideration for the firms operating in construction sector. In this study, project selection criteria have been determined by discussing with the firms producing similar type of houses and by considering the related literature. Then a real application has been achieved in a large scale construction company. In the proposed model, a fuzzy technique for order preference by similarity to ideal solution (TOPSIS) method is used for evaluating and prioritizing the candidate construction projects. Consequently, it is determined that proposed model gives successful results and may help decision makers choose the best alternative projects.
UR - https://www.scopus.com/pages/publications/84892637200
U2 - 10.1142/9789814417747_0023
DO - 10.1142/9789814417747_0023
M3 - Conference contribution
AN - SCOPUS:84892637200
SN - 9789814417730
T3 - World Scientific Proc. Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf.
SP - 137
EP - 142
BT - World Scientific Proc. Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf.
PB - World Scientific Publishing Co. Pte Ltd
Y2 - 26 August 2012 through 29 August 2012
ER -