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Paper w78-2003-88:
Classification of construction information with fuzzy attributes

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Ciftcioglu O

Classification of construction information with fuzzy attributes

Abstract: Construction industry deals with various kinds of diverse information, which have to be synergistically handled. Information can be engineering data from exact sciences as well as linguistic or qualitative data from soft sciences. In such a wide spectrum to deal with the context dependent information optimally in perspective is a formidable task. The loss of benefit from available information is reflected on the cost effectiveness and efficiency of the construction. Referring to the complexity of this information, intelligent technologies can be of important help to assess information in a particular context in perspective for enhanced assessment of the construction process while it is in progress. In this respect, role of intelligent technologies, in particular, fuzzy logic, neural network and evolutionary search algorithms, in dealing with construction information is discussed and exemplified. In particular, in fuzzy logic terms, classification of construction information with fuzzy attributes/semantic labels is described.



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Permission to reproduce these papers has been graciously provided by the University of Auckland. The assistance of the editor who provided the full texts and the structured metadata, Dr. Robert Amor, is gratefully appreciated.


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