Skip to main content
SpringerLink
Log in
Book cover

International Conference on Digital Transformation and Global Society

DTGS 2016: Digital Transformation and Global Society pp 411–421Cite as

Automation of Knowledge Work: A Framework of Soft Computing

  • Conference paper
  • First Online:

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 674))

Abstract

Modern information technologies have changed our world dramatically during last years. We see how a number of traditional professions were died, and how a number of new specialties and workplaces were born under pressure of new technologies. Technologies are moving so quickly, and in so many directions, that it becomes challenging to even keep in mind a general picture. In this article, we shortly discuss one of the most visible disruptive technologies – automation of knowledge work, and tried to formulate our vision why and how we can use soft computing framework in this area. Main ideas are illustrated on a very core activity in every society – smart learning for education.

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

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
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

Learn about institutional subscriptions

References

  1. A gallery of disruptive technologies. http://www.mckinsey.com/assets/dotcom/mgi/slideshows/disruptive_tech/index.html#

  2. Manyika, J., Chui, M., Bughin, J., Dobbs, R., Bisson, P., Marrs. A.: Disruptive Technologies: Advances That Will Transform Life, Business, and the Global Economy, 176 p. McKinsey Global Institute (MGI), New York City (2013). http://www.mckinsey.com/insights/business_technology/disruptive_technologies

  3. Ahkmedzhanov, N.M., Zhukotcky, A.V., Kudrjavtcev, V.B., Oganov, R.G., Rastorguev, V.V., Ryjov, A.P., Stogalov, A.S.: System for evaluation and monitoring of risks of cardiovascular disease. Intell. Syst. 7(1–4), 5–38 (2013). (in Russian)

    Google Scholar 

  4. Ryjov, A.: Towards an optimal task-driven information granulation. In: Pedrycz, W., Chen, S.-M. (eds.) Information Granularity, Big Data, and Computational Intelligence, vol. 8, pp. 191–208. Springer, Cham (2015)

    Google Scholar 

  5. Ryjov, A.: Personalization of social networks: adaptive semantic layer approach. In: Pedrycz, W., Chen, S.-M. (eds.) Social Networks: A Framework of Computational Intelligence. Springer, Cham, vol. 526, pp. 21–40 (2014)

    Google Scholar 

  6. Buckley, J.J.: Fuzzy hierarchical analysis. Fuzzy Sets Syst. 17, 233–247 (1985)

    Article  MathSciNet  MATH  Google Scholar 

  7. Mesarovich, M.D., Macko, D., Takahara, Y.: Theory of Hierarchical Multilevel Systems. Academic Press, London (1970)

    MATH  Google Scholar 

  8. Rostamy, A.A.A., Meysam, S., Behnam, A., Takanlou, F.B.: Using fuzzy analytical hierarchy process to evaluate main dimensions of business process reengineering. J. Appl. Oper. Res. 4(2), 69–77 (2012)

    Google Scholar 

  9. Ryjov, A., Belenki, A., Hooper, R., Pouchkarev, V., Fattah, A., Zadeh, L.A.: Development of an Intelligent System for Monitoring and Evaluation of Peaceful Nuclear Activities (DISNA), IAEA, STR-310, Vienna (1998)

    Google Scholar 

  10. Ryjov, A.: Modeling and optimization of information retrieval for perception-based information. In: Zanzotto, F., Tsumoto, S., Taatgen, N., Yao, Y.Y. (eds.) Proceedings of the International Conference on Brain Informatics 2012, Macau, China, 4–7 December 2012, pp. 140–149 (2012)

    Google Scholar 

  11. Ryjov, A.: Fuzzy linguistic scales: definition, properties and applications. In: Reznik, L., Kreinovich, V. (eds.) Soft Computing in Measurement and Information Acquisition, vol. 127, pp. 23–38. Springer, Heidelberg (2003)

    Google Scholar 

  12. Ryjov, A.: On information aggregation in fuzzy hierarchical systems. Intell. Syst. 6, 341–364 (2001). (in Russian)

    Google Scholar 

  13. Ryjov, A.: The Principles of Fuzzy Set Theory and Measurement of Fuzziness. Dialog-MSU Publishing, Moscow (1988). (in Russian)

    Google Scholar 

  14. Saaty, T.L.: The Analytic Hierarchy Process. McGraw-Hill, New York (1980)

    MATH  Google Scholar 

  15. Torra, V.: A review of the construction of hierarchical fuzzy systems. Int. J. Intell. Syst. 17, 531–543 (2002)

    Article  MATH  Google Scholar 

  16. Zadeh, L.A.: Fuzzy sets. Inf. Control 8, 338–353 (1965)

    Article  MathSciNet  MATH  Google Scholar 

  17. Zadeh, L.A.: The concept of a linguistic variable and its application to approximate reasoning. Part 1, 2, 3. Inform. Sci. 8, 199–249; 8, 301–357; 9, 43–80 (1975)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Mechanics and Mathematics, Lomonosov Moscow State University, Moscow, Russia

    Alexander Ryjov

Authors
  1. Alexander Ryjov
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Alexander Ryjov .

Editor information

Editors and Affiliations

  1. ITMO University, St. Petersburg, Russia

    Andrei V. Chugunov

  2. Saint Petersburg State University, St. Petersburg, Russia

    Radomir Bolgov

  3. National Research University Higher School of Economics, St. Petersburg, Russia

    Yury Kabanov

  4. Eotvos University Budapest, Budapest, Hungary

    George Kampis

  5. Universität Koblenz-Landau, Koblenz, Rheinland-Pfalz, Germany

    Maria Wimmer

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing AG

About this paper

Cite this paper

Ryjov, A. (2016). Automation of Knowledge Work: A Framework of Soft Computing. In: Chugunov, A., Bolgov, R., Kabanov, Y., Kampis, G., Wimmer, M. (eds) Digital Transformation and Global Society. DTGS 2016. Communications in Computer and Information Science, vol 674. Springer, Cham. https://doi.org/10.1007/978-3-319-49700-6_41

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-49700-6_41

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-49699-3

  • Online ISBN: 978-3-319-49700-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation