Econometric Entropy - Neural Network-Based Model for Project Cost Adjudication System in Residential Building Project Procurement

摘要

The main aim of this research work is to develop a Neural network –Econometric –Entropy-BasedudProject Adjudication Model for Residential Building Project Procurement. An econometric modeludwhich incorporates exigency escalator and inflation buffer was generated in this study, this isudaccompanied with risk entropy matrix that could aid determination of the extent of risk implication onudthe project elements at tendering and construction stages of building projects. The model incorporatesudresidential building elemental dichotomies within the context of early and late constructible elementsudwith speculated prediction period, taken into consideration the present value of cost. This attributesudwould enable a builder or contactor load cost implication of an unseen circumstance even on occasionudof deferred cost reimbursement