EVALUATION OF ROUGH SET THEORY FOR DECISION MAKING OF REHABILITATION METHOD FOR CONCRETE PAVEMENT

In recent years a great number of advanced theoretical -empirical methods has been developed for design modeling concrete pavements distress. But there is no reliable theoretical method to be use in evaluation of conerete pavements distresses and making a decision about repairing them. Only empirical methods is used for this reason. One of the most usual methods in evaluating concrete pavements distresses is to determine the PCI of the Pavement Condition Index. As a result of large number of variables and complicated decision -making algorithm using the information obtained in this method, may have some difficulties. Presenting an analytic -theoretical method mixed with the PCl method may be the bases for the development of a theoretical empirical method in evaluation of concrete pavements distresses can remove the diffcultics, The present paper describes a method of applying the rough set theory for evaluation of reinforced concrete highway pavements distresses in PCl method to extract the minimal decisian algorithm and selecting the best suitable method of rehabilitation. The significance of the conditional attributes retained in the minimal decisian algorithrnis evaluated, and a method of deriving rules from the algorithm for the constraction of expert system is described. The result of this procedure shows the high reliability of this method, using the minimum necessary informations.