Measuring Objective Information

Jianfeng Xu; Shuliang Wang; Zhenyu Liu; Yashi Wang; Yingfei Wang; Yingxu Dang

doi:10.1007/978-981-19-9929-1_4

Measuring Objective Information

Jianfeng Xu^*, Shuliang Wang, Zhenyu Liu, Yashi Wang, Yingfei Wang, Yingxu Dang

^*Corresponding author for this work

School of Computer Science and Technology

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

In the context of the sextuple model, this chapter presents a metrics system with 11 indicators to measure objective information. Under the measurement, potential, and features of the set, each indicator is mathematical explored from the methodological foundations, specific definitions, and related propositions for quantitative information analysis and information systems applications.

Original language	English
Title of host publication	SpringerBriefs in Computer Science
Publisher	Springer
Pages	39-57
Number of pages	19
DOIs	https://doi.org/10.1007/978-981-19-9929-1_4
Publication status	Published - 2023

Publication series

Name	SpringerBriefs in Computer Science
ISSN (Print)	2191-5768
ISSN (Electronic)	2191-5776

Keywords

Information measurement
Metric system on on information
Metric system on on information system
Objective information theory (OIT)

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10.1007/978-981-19-9929-1_4

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Xu, J., Wang, S., Liu, Z., Wang, Y., Wang, Y., & Dang, Y. (2023). Measuring Objective Information. In SpringerBriefs in Computer Science (pp. 39-57). (SpringerBriefs in Computer Science). Springer. https://doi.org/10.1007/978-981-19-9929-1_4

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Measuring Objective Information

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