Rough Set Application to Data Mining Principles in Pavement Management Database

Abstract

This paper presents a new approach to rough set theory in pavement rehabilitation and maintenance decision support systems. A rough set-based analysis acts like a knowledge engineer who sits between data and the user. The rough set concept is an effective tool for analysis of information systems in a pavement management system (PMS) database gained by both objective and subjective methods. The rough set approach in a PMS database enables pavement engineers to discover minimal subsets of condition attributes in assessing and describing the pavement conditions, and to derive decision rules in rehabilitation and maintenance decision making. The approach appears to capture information on uncertainty, imprecision, and ambiguity along with precise values in a PMS database.