CONSTRUCTION PRODUCTIVITY FUZZY KNOWLEDGE BASE MANAGEMENT SYSTEM

Construction companies need a Knowledge Management system in order 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: (1) determine which factors affect productivity; (2) select those factors which are critical; (3) build the Fuzzy sets; (4) generate the Fuzzy rules and models; (5) develop the Fuzzy knowledge base; and (6) validate the efficacy and function of these models in predicting the productivity construction process. The Fuzzy knowledge base was validated and verified using a case study and the results were satisfactory with 92.00 % mean validity. In conclusion, the developed models/system demonstrated the ability of a knowledge base management to predict the patterns and productivity of different construction operationsThe accepted manuscript in pdf format is listed with the files at the bottom of this page. The presentation of the authors' names and (or) special characters in the title of the manuscript may differ slightly between what is listed on this page and what is listed in the pdf file of the accepted manuscript; that in the pdf file of the accepted manuscript is what was submitted by the author