Abstract
Rule based expert systems provide a suitable method for capturing expert knowledge and formulating the acquired knowledge as rules. In the field of pavement rehabilitation, the decision making process includes choosing the best rehabilitation or maintenance options according to the values of different pavement conditions and indexes. The decision about the same road pavement may vary significantly from one expert to another because of their different experiences and attitudes. Thus, using an expert system which is composed of rules extracted from experts consensus could be viewed as a beneficial pavement management decision support tool. Rough Set theory is proven to be appropriate for processing qualitative information that is difficult to analyze by standard statistical techniques. The current research uses rough set theory in order to derive decision rules from diverse opinions of experts in selecting pavement rehabilitation treatments.
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Akhlaghi, E., Abdi, F. (2012). Designing a Rule Based Expert System for Selecting Pavement Rehabilitation Treatments Using Rough Set Theory. In: Watada, J., Watanabe, T., Phillips-Wren, G., Howlett, R., Jain, L. (eds) Intelligent Decision Technologies. Smart Innovation, Systems and Technologies, vol 15. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29977-3_47
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DOI: https://doi.org/10.1007/978-3-642-29977-3_47
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