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.
|Journal||IOP Conference Series: Earth and Environmental Science|
|Publication status||Published - 12 Mar 2018|
|Event||3rd International Conference on Research Methodology for Built Environment and Engineering 2017, ICRMBEE 2017 - Best Western Hotel I-City, Shah Alam, Selangor, Malaysia|
Duration: 8 Nov 2017 → 9 Nov 2017
ASJC Scopus subject areas
- Environmental Science(all)
- Earth and Planetary Sciences(all)