| Title |
Decision Making Algorithm for Determination of Category of Crack Causes of Reinforced Concrete Structures Using Rough Set Theory |
| Keywords |
Rough Set ; Category of Crack Causes ; Decision Making Algorithm |
| Abstract |
Rough set theory is a new mathematical approach to imprecision, vagueness and uncertainty in data analysis. This paper presents a new approach to rough set theory in determining category of crack causes for insufficient and imprecise crack characteristics observed in regular inspection of building structures. The crack characteristics are classified as (1)time of crack formation, (2)shape, (3)regularity, (4)cause of concrete deformation, and (5)range of crack. The category of crack causes include (1)material properties, (2)construction work, (3)service and environmental factors, and (4)structural and external forces. The decision table was constructed of the crack characteristics as condition attributes and the category of crack causes as decision attributes. A minimum decision making algorithm for this decision table was made on the basis of rough set theory, and the algorithm is equivalent to the original decision table but requires minimum subsets of condition attributes. It turned out that in determining category of crack causes, the time of crack formation has more influence than other characteristics, and the shape of crack could be omitted with the least influence on diagnosis. |