Using publicly available information effectively is important to remain competitive in technology related industries. The main difficulty in this is determining how to use the information effectively and in a manner that will yield results that can be acted upon. Several different methodologies are being developed in the Technology Watch area of research including the Patent Alert System (PAS) by Dereli and Durmusoglu. By using two different variations of the Patent Alert System, this paper will analyze two different technologies based on wind energy. These variations include Linear Regression based PAS and Fuzzy Logic based PAS. Each approach uses a different methodology to evaluate the available data and generate a trend that will be used to predict future values of patent counts in the applied area of technology. The results of these different approaches are compared in order to determine if either method produces more reliable results which would then lead to better decisions by the organization. In order to connect the results with real world events, trend changes will be evaluated against global events which should have an impact on technological development in this area.
Bayraktaroglu, Elvan; Iskin, Ibrahim; Li, Xin; and Zielsdorff, Casey, "Patent Analysis of Wind Energy Technology using the Patent Alert System" (2011). Engineering and Technology Management Student Projects. 688.