| QUANTIFYING SIMILARITY FOR HANDLING INFORMATION IN KNOWLEDGE BASES |
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| 作者姓名： | HANS BANDEMER |
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| 作者单位： | Sektion Mathematik |
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| 摘 要： | When constructing diagnostic systems or using knowledge-based systems,e.g.in analytical chemistry,features of different type and character,represented by numbers,trajectories or linguistic variables suchas intensities or colours,must be considered.To find neighbourhoods or to fill in missing values,thenotion of similarity is of essential importance.The paper presents a new fuzzy-set-theory-based approachto quantifying similarity and provides a system of rules to be implemented into the diagnostic part of theknowledge base to be used.
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QUANTIFYING SIMILARITY FOR HANDLING INFORMATION IN KNOWLEDGE BASES |
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| HANS BANDEMER.QUANTIFYING SIMILARITY FOR HANDLING INFORMATION IN KNOWLEDGE BASES[J].Journal of Geographical Sciences,1990(2). |
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| Authors: | HANS BANDEMER Sektion Mathematik Bergakademie Freiberg PF DDR- freiberg German Democratic Republic |
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| Abstract: | When constructing diagnostic systems or using knowledge-based systems,e.g.in analytical chemistry, features of different type and character,represented by numbers,trajectories or linguistic variables such as intensities or colours,must be considered.To find neighbourhoods or to fill in missing values,the notion of similarity is of essential importance.The paper presents a new fuzzy-set-theory-based approach to quantifying similarity and provides a system of rules to be implemented into the diagnostic part of the knowledge base to be used. |
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| Keywords: | Knowledge bases Diagnostic systems Quantifying similarity Application of fuzzy set theory |
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