Automated Qualitative Description of Measurements
by Ruspini, Enrique H. and Zwir, Igor S.
in Proc. 16th IEEE Instrumentation and Measurement Technology Conf.
1999.We present results of ongoing research on methods for the automatic derivation of qualitative descriptions of complex objects. The ultimate goals of these investigations are the development of a methodology for the qualitative representation of complex objects, the systematic search and retrieval of measurements and objects based on those representations, and the discovery of knowledge based on the study of collections of such qualitative descriptions. Our techniques combine fuzzy logic and evolutionary computation methods to solve optimization problems associated with qualitative description. These methods are noteworthy in that they do not assume prior knowledge of the number of interesting structures, or their extension nor do they require an exhaustive explanation of the object being described. We present results of the application of these methods to the description of financial time series.
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| Name | Title | ||
|---|---|---|---|
| Ruspini, Enrique H | Alumnus |
