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

W. P. Utama, Ping Chuen Chan, Zulherman, H. Zahoor, R. Gao, D. Y. Jumas

Research output: Journal article publicationConference articleAcademic researchpeer-review

3 Citations (Scopus)

Abstract

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.
Original languageEnglish
Article number012043
JournalIOP Conference Series: Earth and Environmental Science
Volume117
Issue number1
DOIs
Publication statusPublished - 12 Mar 2018
Event3rd 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 20179 Nov 2017

ASJC Scopus subject areas

  • Environmental Science(all)
  • Earth and Planetary Sciences(all)

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