Institute of Information Theory and Automation

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Semantical Component of Vague Verbal Data

Identification Code: 
IAA1075301
Start: 
2003-01-01
End: 
2006-01-01
Project Focus: 
teoretický
Project Type (EU): 
other
Abstract: 
The increasing number of applications of mathematical methods in natural and social sciences implies an urgent demand for managemant of vague quantitative inputs, frequently represented by verbal units like "little", "high", "approximately ..", something between ..." and other. An adequate tool for modelling vague data are fuzzy quantities. The experience earned by modelling real situations shows that they are sometimes relatively rough. The assence of the problem is not connected with quantitative (numerical) component of fuzzy quantity but rather in its qualitative (semantic) component representing the vagueness being presented on the verbal expressions. The main object of the research in the submitted project is exactly the qualitative component and its fuzzy logical functional representation.
bocek: 2012-03-15 08:59