Combination of latent root regression and fuzzy-grey theory which was used for the life cycle cost modeling of weapon system

The parameter method is often used in life cycle cost modeling of weapon system and the least squares regression is frequently adopted in this method. This paper proposes to set up life cycle cost model of weapon system by the fuzzy-grey latent root regression and analyzes the life cycle cost with an example. Result indicates that this method can improve multicollinearity of least squares regression, thus having great practical value.