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Knowledge Base Construction of Ship Design Using Fuzzy Equalization and Rough Sets  

Suh, Kyu-Youl (Department of Naval Architecture, Dong-Myung Univ.)
Publication Information
Journal of Ocean Engineering and Technology / v.21, no.6, 2007 , pp. 115-119 More about this Journal
Abstract
Inference rules of the knowledge base, generated by experts or optimization, may be often inconsistent and incomplete. This paper suggests a systematic and automatic method which extracts inference rules not from experts' subject but from data. First, input/output linguistic variables are partitioned into several properties by the fuzzy equalization algorithm and each combination of their properties comes to premise of inference rule. Then, the conclusion which is the mast suitable for the premise is selected by evaluating consistent measure. This method, automatically from data, derives inference rules from experience. It is shown through application that extracts new inference rules between hull dimensions and hull performance.
Keywords
Automatic rule derivation; Fuzzy equalization; Rough sets; Consistent measure; Expert system;
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