Abstract
In many instances it is very desirable to store information in a data-base using natural language. As a matter of fact, linguistic variables are key issues in fuzzy data-bases. The complexity of the analysis in retrieving this kind of information may be reduced because, in general, a restricted subset (jargon) of the natural language is used to describe the contents of the data-base. The present paper presents a procedure to recover this jargon. Some examples about how to use this jargon to retrive information from the data-base are presented.
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Rocha, A.F., Theoto, M. (1991). Searching Fuzzy Concepts in a Natural Language Data Base. In: Fedrizzi, M., Kacprzyk, J., Roubens, M. (eds) Interactive Fuzzy Optimization. Lecture Notes in Economics and Mathematical Systems, vol 368. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45700-5_13
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DOI: https://doi.org/10.1007/978-3-642-45700-5_13
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