LAUSR

Construction companies need a knowledge management system to collate, share and ultimately apply this knowledge in various projects. One of the most important elements that determine the time estimates of any construction project is productivity. Such projects have a predilection towards uncertainty and therefore require new generation of prediction models that utilizes available historical data. The research presented in this paper develops, using fuzzy approach, a knowledge base to analyze, extract and infer any underlying patterns of the data sets to predict the duration and productivity of a construction process. A six-step protocol has been followed to create this model: (i) determine which factors affect productivity; (ii) select those factors that are critical; (iii) build the fuzzy sets; (iv) generate the fuzzy rules and models; (v) develop the fuzzy knowledge base; and (vi) validate the efficacy and function of these models in predicting the productivity construction process. The fuzzy knowledge ...