Journal of Intelligent Computing Dong-Sheng Xu, Cun Wei, Gui-Wu Wei 9 2 2018 https://doi.org/10.6025/jic/2018/9/1/54-75 http://www.dline.info/jic/fulltext/v9n2/jicv9n2_2.pdf In this paper, we investigate the single-valued neutrosophic multiple attribute decision making (MADM) problems with preference information on alternatives, some operational laws of single-valued neutrosophic numbers, score function where accuracy function of single-valued neutrosophic numbers are introduced. An optimization model based on the minimum deviation method, by which the attribute weights can be determined, is established. For the special situations where the information about attribute weights is completely unknown, we establish another optimization model. By solving this model, we get a simple and exact formula, which can be used to determine the attribute weights. We utilize the singlevalued neutrosophic weighted averaging (SVNWA) operator to aggregate the single-valued neutrosophic information corresponding to each alternative, and then rank the alternatives and select the most desirable one(s) according to the score function and accuracy function. The method can sufficiently utilize the objective information, and meet decision makers’ subjective preference and can be easily performed on computer. Furthermore, we have extended the above results to interval neutrosophic environment. Finally, an illustrative example for potential evaluation of emerging technology commercialization is given to verify the developed approach and to demonstrate its practicality and effectiveness.