Automated qualitative description of measurements

Enrique H. Ruspini, Igor S. Zwir

Research output: Contribution to conferencePaperpeer-review

19 Scopus citations

Abstract

The methods for automatic derivation of qualitative descriptions are investigated. A method for qualitative representation of complex objects, systematic search and retrieval of measurements, and the discovery of knowledge are developed based on the study of collections of such qualitative descriptions. These techniques are a combination of fuzzy logic and evolutionary computational methods that can solve optimization problems associated with qualitative description. In addition, the results of the application of these methods to the description of financial time series are presented.

Original languageEnglish
Pages1086-1091
Number of pages6
StatePublished - Jan 1 1999
EventProceedings of the 1999 16th IEEE Instrumentation and Measurement Technology Conference, IMTC/99 - Measurements for the new Millenium - Venice, Italy
Duration: Jun 24 1999Jun 26 1999

Conference

ConferenceProceedings of the 1999 16th IEEE Instrumentation and Measurement Technology Conference, IMTC/99 - Measurements for the new Millenium
CityVenice, Italy
Period06/24/9906/26/99

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