Hybrid Grey forecasting model for Taiwan’s Hsinchu Science Industrial Park

Abstract

Grey theory is an effective method to solve uncertainty problems with discrete data and incomplete information. This paper proposes an improved grey GM (1, 1) model, using a technique that combines residual modification with Markov chain model. Proposed Grey-Markov model, applied as a case study to annual output of Taiwan Hsinchu Industries Science Park, could clearly improve forecast accuracy of original Grey forecast model.