Managing Patent Legal Value via Fuzzy Neural Network incorporated with Factor Analysis Based on Patent Infringement Lawsuits

摘要

This study aimed at the basis of patent law and proposed a revolutionary valuation model for the legal value of patents. The damage awards of patent infringement lawsuits were deemed to be the legal value of patents. 65 Effective samples were extracted from 4,289 patent infringement lawsuits retrieved in U.S. district courts of Delaware, California and Texas, for constructing the valuation model via the Fuzzy Neural Network incorporated with the Factor Analysis. The proposed valuation model was validated to have the predictive power by error analysis and was accommodated to valuate the possible damage award and the settlement fee in disputing patent infringement lawsuits. It also contributed to manage intellectual property assets.