Skip to main content

The Development of the Theory of Quality Assessment of the Information, Taking into Account Its Structural Component

  • Conference paper
  • First Online:
Advances in Artificial Intelligence, Software and Systems Engineering (AHFE 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 965))

Included in the following conference series:

Abstract

Today is topical the automation of the production part of the search strategy. It is required to study the internal organization of information, which is presented not in a semantic way, but from the position of structuring information. Mathematic formulas reflecting the internal organization of information that affects the effectiveness of the choice of the method for solving the problem become actual. Modern quality indicators do not use the parameters of information structuring. But the structured information can forms the stable links and relationships between the procedural knowledge of the subject area used in modern computer systems to support scientific research, to organize effective selection of the most appropriate method for solving the current applied problem. The following scientific idea is proposed. A structured subject area has an optimal scope for making any right decision. Structured information can’t be superfluous or incomplete, since it takes into account all ideal cases.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Kulinich, A.A.: Situational, cognitive and semiotic approach to decision-making in organizations. Open Educ. 20(6), 9–16 (2016)

    Article  Google Scholar 

  2. Popova, O., Popov, B., Romanov, D., Evseeva, M.: Optimel: software for selecting the optimal method. SoftwareX 6C, 231–236 (2017). http://www.sciencedirect.com/science/article/pii/S2352711017300316?via%3Dihub

    Article  Google Scholar 

  3. Optimel smart selection system. RF patent No. 2564641, 27 May 2014. Bulletin No. 28, 21 p. Accessed 10 Oct 2015

    Google Scholar 

  4. Chapter 2. The quantity of information. http://izi.vlsu.ru/teach/books/002/le2/page2.html

  5. Popova, O., Shevtsov, Y., Popov, B., Karandey, V., Klyuchko, V.: Theoretical propositions and practical implementation of the formalization of structured knowledge of the subject area for exploratory research. In: Karwowski, W., Ahram, T. (eds.) Advances in Intelligent Systems and Computing, IHSI 2018, vol. 722, pp. 432–437. Springer, Dubai (2018)

    Google Scholar 

  6. Popova, O., Shevtsov, Y., Popov, B., Karandey, V., Klyuchko, V., Gerashchenko, A.: Entropy and algorithm of the decision tree for approximated natural intelligence. In: Karwowski, W., Ahram, T. (eds.) Advances in Intelligent Systems and Computing, AHFE 2018, vol. 787, pp. 310–321. Springer, Orlando (2018)

    Google Scholar 

  7. Popova, O., Shevtsov, Y., Popov, B., Karandey, V., Klyuchko, V.: Studying an element of the information search system – the choice process approximated to the natural intelligence. Advances in Intelligent Systems and Computing, IntelliSys 2018, vol. 868, pp. 1150–1168. Springer, London (2018)

    Google Scholar 

Download references

Acknowledgments

The work was carried out with the financial support provided by the Russian Foundation for Humanities within the research projects No. 16-03-00382 within the theme “Monitoring the research activity of educational institutions in the conditions of information societyˮ of 18.02.2016.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Olga Popova .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Popova, O., Shevtsov, Y., Popov, B., Karandey, V., Klyuchko, V. (2020). The Development of the Theory of Quality Assessment of the Information, Taking into Account Its Structural Component. In: Ahram, T. (eds) Advances in Artificial Intelligence, Software and Systems Engineering. AHFE 2019. Advances in Intelligent Systems and Computing, vol 965. Springer, Cham. https://doi.org/10.1007/978-3-030-20454-9_18

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-20454-9_18

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-20453-2

  • Online ISBN: 978-3-030-20454-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics