Skip to main content

Fuzzy Decision Support System for Post-Mining Regions Restoration Designing

  • Conference paper
Book cover Artificial Intelligence and Soft Computing (ICAISC 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6113))

Included in the following conference series:

Abstract

Reclamation as one of the stages in the cycle of life of mine is realized using different techniques and technology, adapted to the unique characteristics for any given mining institution. Restoration of terrain from opencast mining is influenced by many factors and processes and the results are open to interpretation and are not predictable. Most of the mentioned factors has qualitative character. The number and complex connections among these factors cause the fact that the analysis of post-mining terrain restoration is expensive and time-consuming. Therefore the automatization of the decision making is very desirable. In this paper a fuzzy decision support system for post-mining regions restoration designing is proposed. The system was applied to testing decision making concerning revitalization direction in opencast mining institution in Zator community, southern Poland.

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 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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. Evans, K.G., Willgoose, G.R.: Post-mining landform evolution modelling: Effects of vegetation and surface ripping. Earth Surface Processes and Landforms 25, 803–823 (2000)

    Article  Google Scholar 

  2. Evans, K.G., Willgoose, G.R., Saynor, M.J., Riley, S.J.: Post-mining landform evolution modelling: Derivation of sediment transport model and rainfall-runoff model parameters. Earth Surface Processes and Landforms 25, 743–763 (2000)

    Article  Google Scholar 

  3. Hancock, G.R.: The use of landscape evolution models in mining rehabilitation design. Environmental Geology 46, 561–573 (2004)

    Article  Google Scholar 

  4. Hancock, G.R., Willgoose, G.R., Evans, K.G., Moliere, D.R., Saynor, M.J.: Medium term erosion simulation of a abandoned mine site using the SIBERIA landscape evolution model. Australian Journal of Soil Research 38, 249–263 (2000)

    Article  Google Scholar 

  5. Jang, J.S.R., Sun, C.T., Mizutani, E.: Neuro-Fuzzy and Soft Computing. In: A Computational Approach to Learning and Machine Intelligence. Simon and Schuster, London (1997)

    Google Scholar 

  6. Rutkowska, D., Rutkowski, L.: Fuzzy and fuzzy-neural systems. In: Duch, W., Korbicz, J., Rutkowski, L., Tadeusiewicz, R. (eds.) Academic Printing House EXIT, Warsaw, pp. 135–178 (2000) (in Polish)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Bielecka, M., Król-Korczak, J. (2010). Fuzzy Decision Support System for Post-Mining Regions Restoration Designing. In: Rutkowski, L., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2010. Lecture Notes in Computer Science(), vol 6113. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13208-7_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-13208-7_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13207-0

  • Online ISBN: 978-3-642-13208-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics