Valuation-Based Systems (VBS) for belief-functions theory is applied to Pavement Management Systems (PMS) decision-making. The VBS provides a general framework for representing knowledge and drawing inferences under uncertainty. A VBS network is constructed and potentials are introduced in the form of belief-function (or basic probability assignment) in PMS decision making environment. Valuation network is another method of representing and solving Bayesian decision problems. It is based on the framework of VBS. Valuation network depict decision variables, random variables, utility functions, and information constraints. The solution method for valuation network is called fusion algorithm, and the Dempster's rule of combination can be successfilly applied in this framework. It will be shown that this approach can capture the quantitative, qualitative and incomplete information in PMS decision making. 1.