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Rough‐Set‐Based Knowledge Acquisition from Cases for Integrity Assessment of Bridge Structures
Many existing structures present an ever‐increasing demand for maintenance and repair. It is necessary in the first place to diagnose such structures correctly. The diagnoses have been dependent to date on experts of great experience. To meet the increasing demand for maintenance and repair and perform diagnoses efficiently and correctly, the development of expert systems is hoped for. This article discusses application of rough‐set theory to the acquirement of experiential knowledge contained in diagnostic cases. Rough‐set theory was applied to cases in which experts diagnosed the damage of bridges, and a minimal‐decision algorithm was derived that could make diagnoses equivalent to those of the experts. In addition, a method of deriving rules from the minimal‐decision algorithm for the construction of expert systems is discussed.
Rough‐Set‐Based Knowledge Acquisition from Cases for Integrity Assessment of Bridge Structures
Many existing structures present an ever‐increasing demand for maintenance and repair. It is necessary in the first place to diagnose such structures correctly. The diagnoses have been dependent to date on experts of great experience. To meet the increasing demand for maintenance and repair and perform diagnoses efficiently and correctly, the development of expert systems is hoped for. This article discusses application of rough‐set theory to the acquirement of experiential knowledge contained in diagnostic cases. Rough‐set theory was applied to cases in which experts diagnosed the damage of bridges, and a minimal‐decision algorithm was derived that could make diagnoses equivalent to those of the experts. In addition, a method of deriving rules from the minimal‐decision algorithm for the construction of expert systems is discussed.
Rough‐Set‐Based Knowledge Acquisition from Cases for Integrity Assessment of Bridge Structures
Furuta, Hitoshi (Autor:in) / Hirokane, Michiyuki (Autor:in)
Computer‐Aided Civil and Infrastructure Engineering ; 13 ; 265-273
01.07.1998
9 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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