APPLICATION OF THE ROUGH SET METHOD FOR EVALUATION OF STRUCTURAL FUNDS PROJECTS

Tadeusz A. Grzeszczyk

2006

Abstract

Main subject of the present paper is presentation of the concept for application of rough set theory in evaluation of structural funds projects. Author presents scheme of classification algorithms based on rough set approach. This algorithm can be used for the problem of project proposals classification.

References

  1. Aamodt, A., 1994. Explanation-Driven Case-Based Reasoning. In S. Wess, K. Althoff, M. Richter (eds.) Topics in case-based reasoning. Springer-Verlag.
  2. Bazan, J. G., Hung Son Nguyen, Sinh Hoa Nguyen, Synak, P., Wroblewski, J., 2000. Rough Set Algorithms in Classification Problem. In L. Polkowski, S. Tsumoto, T. Y. Lin (eds.) Rough Set Methods and Applications. New Developments in Knowledge Discovery in Information Systems. Physica-Verlag, Heidelberg.
  3. Cao, G., Shiu, S., Wang, X. 2001. A Fuzzy-Rough Approach for Case Base Maintenance. In D.W. Aha, I. Watson (eds.) Case-Based Reasoning Research and Development. 4th International Conference on CaseBased Reasoning, ICCBR 2001. Vancouver, BC, Canada. July 30 - August 2, Proceedings. Lecture Notes in Computer Science. Springer-Verlag, Heidelberg.
  4. Damasio, C. V., Maluszynski, J., Vitoria, A., 2003. From Rough Sets to Rough Knowledge Bases. Fundamenta Informaticae, 57 (2-4), November 2003.
  5. Grzeszczyk, T. A., 2004. Application of Neural Networks for Prior Appraisal of Structural Funds Project Proposals. In Proceedings of the Sixth International Conference on Enterprise Information Systems. Vol. 2. Portucalense University, Porto. Portugal.
  6. Kruse, K., Schwecke, E., Heinsohn J., 1991. Uncertainty and Vagueness in Knowledge Based Systems. Springer-Verlag.
  7. Kryszkiewicz, M., 1996. Boolean Reasoning and Aprorilike Technique for Rough Sets. ICS Research Report 26/96, Warsaw University of Technology, Warsaw.
  8. Mrozek, A., 1992. A new method for discovering rules from examples in expert systems. Int. Man-Machine Studies, 36.
  9. Pawlak, Z., 1982. Rough sets. International Journal of Computer and Information Sciences, 11/1982.
  10. Pawlak, Z., 1991. Rough sets: Theoretical aspects of reasoning about data. Kluwer, Dordrecht.
  11. Slowinski, R., Zopounidis, C., 1995. Application of the rough set approach to evaluation of bankruptcy risk, Intelligent Systems in Accounting, Finance and Management, No 4 /1995.
  12. Zadeh, L. A., 1965. Fuzzy sets. Information and Control, 8/1965.
  13. Zadeh, L. A., 1994. Fuzzy logic, neural networks and soft computing. Communications of the ACM, No 37.
  14. www1.ukie.gov.pl/www/en.nsf
Download


Paper Citation


in Harvard Style

A. Grzeszczyk T. (2006). APPLICATION OF THE ROUGH SET METHOD FOR EVALUATION OF STRUCTURAL FUNDS PROJECTS . In Proceedings of the Eighth International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-972-8865-42-9, pages 202-207. DOI: 10.5220/0002495702020207


in Bibtex Style

@conference{iceis06,
author={Tadeusz A. Grzeszczyk},
title={APPLICATION OF THE ROUGH SET METHOD FOR EVALUATION OF STRUCTURAL FUNDS PROJECTS},
booktitle={Proceedings of the Eighth International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2006},
pages={202-207},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002495702020207},
isbn={978-972-8865-42-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Eighth International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - APPLICATION OF THE ROUGH SET METHOD FOR EVALUATION OF STRUCTURAL FUNDS PROJECTS
SN - 978-972-8865-42-9
AU - A. Grzeszczyk T.
PY - 2006
SP - 202
EP - 207
DO - 10.5220/0002495702020207