The Information Estimation System for Data Processing Results
Information measures can be used to evaluate data processing results. At the moment there are many different unrelated information concepts. The purpose of this paper is to propose a theoretical classification for these concepts. Existing information concepts are overviewed and analysed. As a result...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
FRUCT
2019-04-01
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| Series: | Proceedings of the XXth Conference of Open Innovations Association FRUCT |
| Subjects: | |
| Online Access: | https://fruct.org/publications/abstract24/files/Zhu2.pdf
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| Summary: | Information measures can be used to evaluate data processing results. At the moment there are many different unrelated information concepts. The purpose of this paper is to propose a theoretical classification for these concepts. Existing information concepts are overviewed and analysed. As a result, three basic information definitions are identified. Next, these basic definitions are derived from a common basis - the function concept. The resulting classification can be used for a comprehensive evaluation of data processing results, as demonstrated by the example of logical formulas. |
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| ISSN: | 2305-7254 2343-0737 |