Grey Unbiased GOM(1,1) Model Based on Inverse Accumulated Generating Operation and its Application

Abstract

The accuracy of the traditional grey model is not high for the monotonic decreasing data and the model can not satisfy the compatibility conditions which make the error be not avoided. The paper adopts inverse accumulated generating operation and unbiased GM(1,1) model to induces the parameters in the model and establishes the unbiased grey unbiased GOM(1,1) model based on inverse accumulated generating operation. The model has high accuracy and has good value in the theory and practice. The examples show it is practical and reliable.