TY - JFULL AU - Orhan Feyzioğlu and Gülçin Büyüközkan PY - 2007/12/ TI - Evaluation of New Product Development Projects using Artificial Intelligence and Fuzzy Logic T2 - International Journal of Economics and Management Engineering SP - 777 EP - 784 VL - 1 SN - 1307-6892 UR - https://publications.waset.org/pdf/13784 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 11, 2007 N2 - As a vital activity for companies, new product development (NPD) is also a very risky process due to the high uncertainty degree encountered at every development stage and the inevitable dependence on how previous steps are successfully accomplished. Hence, there is an apparent need to evaluate new product initiatives systematically and make accurate decisions under uncertainty. Another major concern is the time pressure to launch a significant number of new products to preserve and increase the competitive power of the company. In this work, we propose an integrated decision-making framework based on neural networks and fuzzy logic to make appropriate decisions and accelerate the evaluation process. We are especially interested in the two initial stages where new product ideas are selected (go/no go decision) and the implementation order of the corresponding projects are determined. We show that this two-staged intelligent approach allows practitioners to roughly and quickly separate good and bad product ideas by making use of previous experiences, and then, analyze a more shortened list rigorously. ER -