ANFIS multi criteria decision making for overseas construction projects: a methodology

3rd International Conference on Research Methodology for Built Environment and Engineering 2017

生态环境科学

Utama, W.P.^1,2 ; Chan, A.P.C.^2 ; Zulherman^3 ; Zahoor, H.^3 ; Gao, R.^1 ; Jumas, D.Y.^2

Department of Building and Real Estate, Hong Kong Polytechnic University, Hong Kong^1

Department of Quantity Surveying, Universitas Bung Hatta, Indonesia^2

Department of Construction Engineering and Management, National University of Science and Technology, Risalpur Campus, Pakistan^3

关键词: Adaptive neuro fuzzy inference systems (ANFIS);    Coefficient of correlation;    Decision making process;    Decision support tools;    Gaussian membership function;    Hybrid optimization method;    Multi criteria decision making;    Root mean square errors;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/117/1/012043/pdf
DOI  :  10.1088/1755-1315/117/1/012043

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

A critical part when a company targeting a foreign market is how to make a better decision in connection with potential project selection. Since different attributes of information are often incomplete, imprecise and ill-defined in overseas projects selection, the process of decision making by relying on the experiences and intuition is a risky attitude. This paper aims to demonstrate a decision support method in deciding overseas construction projects (OCPs). An Adaptive Neuro-Fuzzy Inference System (ANFIS), the amalgamation of Neural Network and Fuzzy Theory, was used as decision support tool to decide to go or not go on OCPs. Root mean square error (RMSE) and coefficient of correlation (R) were employed to identify the ANFIS system indicating an optimum and efficient result. The optimum result was obtained from ANFIS network with two input membership functions, Gaussian membership function (gaussmf) and hybrid optimization method. The result shows that ANFIS may help the decision-making process for go/not go decision in OCPs.