Skip to main content

Generalized Net Model of an Expert System Dealing with Temporal Hypothesis

  • Conference paper
  • First Online:
Flexible Query Answering Systems 2015

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 400))

Abstract

A theory of the Generalized nets was used to construct a generalized net model which describes the possibility to evaluate the time of the occurrence or completion of the events. Twenty predicates for checking the validity of the special circumstances, related to time-moments of two events were introduced. The model can be used to analyze the specific moments in which the facts have happened. In result we can answer questions such as: “Is the fact valid?” “How many facts it contradicts”, “How many facts it confirms?”

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 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Keravnou, E.T.: Medical temporal reasoning (editorial). Artif. Intell. Med. 3(6), 289–290 (1991)

    Article  Google Scholar 

  2. Goodwin, S.D., Hamilton, H.J.: It’s about time: an introduction to the special issue on temporal representation and reasoning. Comput. Intell. 12, 357–358 (1996). Shahar, Y., Combi, C.: Temporal reasoning and temporal data maintenance in medicine: issues and challenges. Time oriented systems in medicine. Comput. Biol. Med. 27(5), 353−68 (1997)

    Article  Google Scholar 

  3. Chittaro, L., Montanari, A.: Temporal representation and reasoning in artificial intelligence: issues and approaches. Ann. Math. Artif. Intell. 28(1–4), 47–106 (2000)

    Article  MathSciNet  MATH  Google Scholar 

  4. Bettini, C., Montanari, A.: Temporal representation and reasoning. Data Knowl. Eng. 44(2), 139–141 (2003)

    Article  Google Scholar 

  5. Alexieva, J., Choy, E., Koycheva, E.: Review and bibloigraphy on generalized nets theory and applications. In: Choy, E., Krawczak, M., Shannon, A., Szmidt, E. (eds.) A Survey of Generalized Nets, Raffles KvB Monograph, No. 10, pp. 207–301 (2007)

    Google Scholar 

  6. Alty, J., M. Coombs, Expert Systems. NCC, (1984)

    Google Scholar 

  7. Atanassov, K.: Remark on a temporal intuitionistic fuzzy logic. In: Second Scientific Session of the “Mathematical Foundation Artificial Intelligence” Seminar, Sofia, March 30, 1990, Preprint IM-MFAIS-1-90, Sofia, pp. 1–5 (1990)

    Google Scholar 

  8. Atanassov, K.: Generalized Nets. World Scientific, Singapore (1991)

    Book  MATH  Google Scholar 

  9. Atanassov, K.: On Generalized Nets Theory. “Prof. M. Drinov” Academic Publishing House, Sofia (2007)

    Google Scholar 

  10. Atanassov, K.: Temporal intuitionistic fuzzy sets. Comptes Rendus de l’Academie Bulgare des Sciences, Tome 44, No. 7, 5–7 (1991)

    Google Scholar 

  11. Atanassov, K.: Remark on intuitionistic fuzzy expert systems. BUSEFAL 59, 71–76 (1994)

    Google Scholar 

  12. Atanassov, K. Generalized Nets in Artificial Intelligence. In: Generalized nets and Expert Systems. vol.1. “Prof. M. Drinov” Academic Publishing House, Sofia, 1998

    Google Scholar 

  13. Atanassov, K.: Intuitionistic Fuzzy Sets. Springer Physica-Verlag, Berlin (1999)

    Book  MATH  Google Scholar 

  14. Atanassov, K., Chountas, P., Kolev, B., Sotirova, E.: Generalized Net Model of an Expert System with Temporal Components. Advanced Studies in Contemporary Mathematics 12(2), 255–289 (2006)

    MathSciNet  MATH  Google Scholar 

  15. Atanassov, K., Peneva, D., Tasseva, V., Sotirova, E., Orozova, D.: Generalized net model of an expert system with frame-type data bases with intuitionistic fuzzy estimations. In: First Int. workshop on Intuitionistic Fuzzy Sets, Generalized Nets and Knowledge Engineering, London, pp. 111–116, September 6–7, 2006

    Google Scholar 

  16. Atanassov, K., Sotirova, E., Orozova, D.: Generalized Net Model of Expert Systems with Frame-Type Data Base. Jangjeon Mathematical Society 9(1), 91–101 (2006)

    MathSciNet  MATH  Google Scholar 

  17. Buckley, J., Siler, W., Tucker, D.: Fuzzy expert systems. Fuzzy Sets and Systems 20(1), 87–96 (1986)

    Article  MathSciNet  Google Scholar 

  18. Payne, E., McArthur, R.: Developing Expert Systems. John Wiley & Sons, New York (1990)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Evdokia Sotirova .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Chountas, P., Atanassov, K., Sotirova, E., Bureva, V. (2016). Generalized Net Model of an Expert System Dealing with Temporal Hypothesis. In: Andreasen, T., et al. Flexible Query Answering Systems 2015. Advances in Intelligent Systems and Computing, vol 400. Springer, Cham. https://doi.org/10.1007/978-3-319-26154-6_36

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-26154-6_36

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26153-9

  • Online ISBN: 978-3-319-26154-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics