Skip to main content
SpringerLink
Log in

jMAF - Dominance-Based Rough Set Data Analysis Framework

  • Chapter
Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 42))

Abstract

We present a rough set data analysis software jMAF. It employs java Rough Set (jRS) library in which are implemented data analysis methods provided by the (variable consistency) Dominance-based Rough Set Approach (DRSA). The chapter also provides some basics of the DRSA and of its variable consistency extension.

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

Access this chapter

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 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover 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. Błaszczyński, J., Greco, S., Słowiński, R.: Multi-criteria classification – A new scheme for application of dominance-based decision rules. European Journal of Operational Research 181(3), 1030–1044 (2007)

    Article  MATH  Google Scholar 

  2. Błaszczyński, J., Greco, S., Słowiński, R., Szeląg, M.: On Variable Consistency Dominance-Based Rough Set Approaches. In: Greco, S., Hata, Y., Hirano, S., Inuiguchi, M., Miyamoto, S., Nguyen, H.S., Słowiński, R. (eds.) RSCTC 2006. LNCS (LNAI), vol. 4259, pp. 191–202. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  3. Błaszczyński, J., Greco, S., Słowiński, R., Szeląg, M.: Monotonic Variable Consistency Rough Set Approaches. In: Yao, J., Lingras, P., Wu, W.-Z., Szczuka, M.S., Cercone, N.J., Ślęzak, D. (eds.) RSKT 2007. LNCS (LNAI), vol. 4481, pp. 126–133. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  4. Błaszczyński, J., Greco, S., Słowiński, R., Szeląg, M.: Monotonic variable consistency rough set approaches. International Journal of Approximate Reasoning 50(7), 979–999 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  5. Błaszczyński, J., Greco, S., Słowiński, R.: Inductive discovery of laws using monotonic rules. Engineering Applications of Artificial Intelligence 25(2), 284–294 (2012)

    Google Scholar 

  6. Błaszczyński, J., Słowiński, R., Szeląg, M.: Sequential covering rule induction algorithm for variable consistency rough set approaches. Information Sciences 181, 987–1002 (2011)

    Article  MathSciNet  Google Scholar 

  7. Figueira, J., Greco, S., Ehrgott, M. (eds.): Multiple Criteria Decision Analysis: State of the Art Surveys. Springer, Berlin (2005)

    Google Scholar 

  8. Flinkman, M., Michałowski, W., Nilsson, S., Słowiński, R., Susmaga, R., Wilk, S.: Use of rough sets analysis to classify Siberian forest ecosystem according to net primary production of phytomass. INFOR 38, 145–161 (2000)

    Google Scholar 

  9. Gorsevski, P.V., Jankowski, P.: Discerning landslide susceptibility using rough sets. Computers, Environment and Urban Systems 32, 53–65 (2008)

    Article  Google Scholar 

  10. Greco, S., Matarazzo, B., Słowiński, R.: A new rough set approach to evaluation of bankruptcy risk. In: Zopounidis, C. (ed.) Operational Tools in the Management of Financial Risks, pp. 121–136. Kluwer, Dordrecht (1998)

    Chapter  Google Scholar 

  11. Greco, S., Matarazzo, B., Słowiński, R.: The use of rough sets and fuzzy sets. In: Gal, T., Stewart, T., Hanne, T. (eds.) Advances in Multiple Criteria Decision Making,  ch. 14, pp. 14.1–14.59. Kluwer, Boston (1999)

    Google Scholar 

  12. Greco, S., Matarazzo, B., Słowiński, R.: Rough approximation of a preference relation by dominance relations. European J. Operational Research 117, 63–83 (1999)

    Article  MATH  Google Scholar 

  13. Greco, S., Matarazzo, B., Słowiński, R.: Rough sets theory for multicriteria decision analysis, European J. of Operational Research 129, 1–47 (2001)

    Article  MATH  Google Scholar 

  14. Greco, S., Matarazzo, B., Słowiński, R.: Multicriteria classification. In: Kloesgen, W., Żytkow, J. (eds.) Handbook of Data Mining and Knowledge Discovery, pp. 318–328. Oxford University Press (2002)

    Google Scholar 

  15. Greco, S., Matarazzo, B., Słowiński, R.: Dominance-based Rough Set Approach to Knowledge Discovery (I) - General Perspective (II) - Extensions and Applications. In: Zhong, N., Liu, J. (eds.) Intelligent Technologies for Information Analysis, ch. 20, 21, pp. 513–612. Springer, Berlin (2004)

    Google Scholar 

  16. Greco, S., Matarazzo, B., Słowiński, R.: Decision rule approach. In: Figueira, J., Greco, S., Ehrgott, M. (eds.) Multiple Criteria Decision Analysis: State of the Art Surveys, pp. 507–563. Springer, Berlin (2005)

    Google Scholar 

  17. Greco, S., Matarazzo, B., Słowiński, R.: Dominance-Based Rough Set Approach as a Proper Way of Handling Graduality in Rough Set Theory. In: Peters, J.F., Skowron, A., Marek, V.W., Orłowska, E., Słowiński, R., Ziarko, W.P. (eds.) Transactions on Rough Sets VII. LNCS, vol. 4400, pp. 36–52. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  18. Greco, S., Matarazzo, B., Słowiński, R.: Customer satisfaction analysis based on rough set approach. Zeitschrift für Betriebswirtschaft 16(3), 325–339 (2007)

    Article  Google Scholar 

  19. Greco, S., Matarazzo, B., Słowiński, R.: Financial portfolio decision analysis using Dominance-based Rough Set Approach. Invited paper at the 22nd European Conference on Operational Research (EURO XXII), August 8-11, Prague (2007)

    Google Scholar 

  20. Greco, S., Matarazzo, B., Słowiński, R.: Parameterized rough set model using rough membership and Bayesian confirmation measures. International Journal of Approximate Reasoning 49, 285–300 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  21. Greco, S., Matarazzo, B., Słowiński, R.: Dominance-based rough set approach to interactive multiobjective optimization. In: Branke, J., Deb, K., Miettinen, K., Słowiński, R. (eds.) Multiobjective Optimization: Interactive and Evolutionary Approaches, ch. 5, Springer, Berlin (2008)

    Google Scholar 

  22. Greco, S., Matarazzo, B., Słowiński, R., Stefanowski, J.: An Algorithm for Induction of Decision Rules Consistent with the Dominance Principle. In: Ziarko, W.P., Yao, Y. (eds.) RSCTC 2000. LNCS (LNAI), vol. 2005, pp. 304–313. Springer, Heidelberg (2001)

    Chapter  Google Scholar 

  23. Greco, S., Matarazzo, B., Słowiński, R., Stefanowski, J.: Variable Consistency Model of Dominance-Based Rough Sets Approach. In: Ziarko, W.P., Yao, Y. (eds.) RSCTC 2000. LNCS (LNAI), vol. 2005, pp. 170–181. Springer, Heidelberg (2001)

    Chapter  Google Scholar 

  24. Greco, S., Pawlak, Z., Słowiński, R.: Can Bayesian confirmation measures be useful for rough set decision rules? Engineering Applications of Artificial Intelligence 17, 345–361 (2004)

    Article  Google Scholar 

  25. Grzymała-Busse, J.W.: LERS – A system for learning from examples based on rough sets. In: Słowiński, R. (ed.) Intelligent Decision Support: Handbook of Applications and Advances of the Rough Sets Theory, pp. 3–18. Kluwer Academic Publishers, Dordrecht (1992)

    Google Scholar 

  26. Michałowski, W., Rubin, S., Słowiński, R., Wilk, S.: Mobile clinical support system for pediatric emergencies. Journal of Decision Support Systems 36, 161–176 (2003)

    Article  Google Scholar 

  27. Michałowski, W., Wilk, S., Farion, K., Pike, J., Rubin, S., Słowiński, R.: Development of a decision algorithm to support emergency triage of scrotal pain and its implementation in the MET system. INFOR 43, 287–301 (2005)

    Google Scholar 

  28. Pawlak, Z.: Rough sets. International Journal of Computer and Information Sciences 11, 341–356 (1982)

    Article  MathSciNet  MATH  Google Scholar 

  29. Pawlak, Z.: Rough Sets: Theoretical Aspects of Reasoning about Data. System Theory, Knowledge Engineering and Problem Solving, vol. 9. Kluwer Academic Publishers, Dordrecht (1991)

    Google Scholar 

  30. Pawlak, Z., Skowron, A.: Rough membership functions. In: Yager, R.R., Fedrizzi, M., Kacprzyk, J. (eds.) Advances in the Dempster-Shafer Theory of Evidence, pp. 251–271. Wiley, New York (1994)

    Google Scholar 

  31. Pawlak, Z., Słowiński, K., Słowiński, R.: Rough classification of patients after highly selective vagotomy for duodenal ulcer. International Journal of Man-Machine Studies 24, 413–433 (1986)

    Article  Google Scholar 

  32. Pawlak, Z., Słowiński, R.: Rough set approach to multi-attribute decision analysis. European J. of Operational Research 72, 443–459 (1994)

    Article  MATH  Google Scholar 

  33. Rossi, L., Słowiński, R., Susmaga, R.: Rough set approach to evaluation of stormwater pollution. International Journal of Environment and Pollution 12, 232–250 (1999)

    Google Scholar 

  34. Słowiński, R.: Rough Set Learning of Preferential Attitude in Multi-criteria Decision Making. In: Komorowski, J., Raś, Z.W. (eds.) ISMIS 1993. LNCS (LNAI), vol. 689, pp. 642–651. Springer, Heidelberg (1993)

    Chapter  Google Scholar 

  35. Słowiński, R., Greco, S., Matarazzo, B.: Rough Set Analysis of Preference-Ordered Data. In: Alpigini, J.J., Peters, J.F., Skowron, A., Zhong, N. (eds.) RSCTC 2002. LNCS (LNAI), vol. 2475, pp. 44–59. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  36. Słowiński, R., Greco, S., Matarazzo, B.: Rough set based decision support. In: Burke, E.K., Kendall, G. (eds.) Search Methodologies: Introductory Tutorials in Optimization and Decision Support Techniques, pp. 475–527. Springer, New York (2005)

    Google Scholar 

  37. Słowiński, R., Greco, S., Matarazzo, B.: Dominance-Based Rough Set Approach to Reasoning About Ordinal Data. In: Kryszkiewicz, M., Peters, J.F., Rybiński, H., Skowron, A. (eds.) RSEISP 2007. LNCS (LNAI), vol. 4585, pp. 5–11. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  38. Słowiński, R., Greco, S., Matarazzo, B.: Rough sets in decision making. In: Meyers, R.A. (ed.) Encyclopedia of Complexity and Systems Science, pp. 7753–7786. Springer, New York (2009)

    Google Scholar 

  39. Słowiński, R., Zopounidis, C.: Application of the rough set approach to evaluation of bankruptcy risk. International Journal of Intelligent Systems in Accounting, Finance and Management 4, 27–41 (1995)

    Google Scholar 

  40. Słowiński, R., Zopounidis, C., Dimitras, A.I.: Prediction of company acquisition in Greece by means of the rough set approach. European Journal of Operational Research 100, 1–15 (1997)

    Article  MATH  Google Scholar 

  41. Skowron, A., Rauszer, C.: The discernibility matrices and functions in information systems. In: Słowiński, R. (ed.) Intelligent Decision Support: Handbook of Applications and Advances of the Rough Sets Theory, pp. 43–84. Kluwer Academic Publishers, Dordrecht (1992)

    Google Scholar 

  42. Susmaga, R., Słowiński, R., Greco, S., Matarazzo, B.: Generation of reducts and rules in multi-attribute and multi-criteria classification. Control and Cybernetics 29(4), 969–988 (2000)

    MATH  Google Scholar 

  43. Wilk, S., Słowiński, R., Michałowski, W., Greco, S.: Supporting triage of children with abdominal pain in the emergency room. European Journal of Operational Research 160, 696–709 (2005)

    Article  MATH  Google Scholar 

  44. Wong, S.K.M., Ziarko, W.: Comparison of the probabilistic approximate classification and the fuzzy set model. Fuzzy Sets and Systems 21(3), 357–362 (1987)

    Article  MathSciNet  MATH  Google Scholar 

  45. Ziarko, W.: Probabilistic approach to rough sets. International Journal of Approximate Reasoning 49(2), 272–284 (2008)

    Article  MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Institute of Computing Science, Poznań University of Technology, 60-965, Poznań, Poland

    Jerzy Błaszczyński, Roman Słowiński & Marcin Szela̧g

  2. Systems Research Institute, Polish Academy of Sciences, 01-447, Warsaw, Poland

    Roman Słowiński

  3. Department of Economics and Business, University of Catania, Corso Italia, 55, 95129, Catania, Italy

    Salvatore Greco & Benedetto Matarazzo

Authors
  1. Jerzy Błaszczyński
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Salvatore Greco
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Benedetto Matarazzo
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Roman Słowiński
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Marcin Szela̧g
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Jerzy Błaszczyński .

Editor information

Editors and Affiliations

  1. Institute of Mathematics, Warsaw University, Banacha 2, Warsaw, 02097, Poland

    Andrzej Skowron

  2. Institute of Computer Science, University of Rzeszów, ul. Dekerta 2, Rzeszów, 35-030, Poland

    Zbigniew Suraj

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Błaszczyński, J., Greco, S., Matarazzo, B., Słowiński, R., Szela̧g, M. (2013). jMAF - Dominance-Based Rough Set Data Analysis Framework. In: Skowron, A., Suraj, Z. (eds) Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam. Intelligent Systems Reference Library, vol 42. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30344-9_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-30344-9_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30343-2

  • Online ISBN: 978-3-642-30344-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation