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Methods Based on Pawlak’s Model of Conflict Analysis - Medical Applications

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Rough Sets (IJCRS 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10313))

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Abstract

In the study, issues related to the decision-making process using knowledge that is accumulated in several local knowledge bases are considered. In order to analyze conflicts and to create coalitions of base classifiers, three modifications of Pawlak’s model were applied. A system that uses these three modifications was then used for two dispersed sets of medical data. The main aim of this study was to compare the structure of the coalitions that were created. In the paper, the quality of the classification of the system using the proposed modifications was also compared.

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References

  1. Bazan, J., Peters, J., Skowron, A., Nguyen, H., Szczuka, M.: Rough set approach to pattern extraction from classifiers. In: Electronic Notes in Theoretical Computer Science, vol. 82, Elsevier Science Publishers (2003)

    Google Scholar 

  2. Delimata, P., Suraj, Z.: Feature selection algorithm for multiple classifier systems: a hybrid approach. Fundamenta Informaticae 85(1–4), 97–110 (2008). IOS Press, Amsterdam

    MathSciNet  MATH  Google Scholar 

  3. Fatima, S., Wooldridge, M., Jennings, N.: A comparative study of game theoretic and evolutionary models of bargaining for software agents. Artif. Intell. Rev. 23, 185–203 (2005)

    Article  Google Scholar 

  4. Kersten, G., Lai, H.: Negotiation support and e-negotiation systems: an overview. Group Decis. Negot. 16, 553–586 (2007)

    Article  Google Scholar 

  5. Kittler, J., Hatef, M., Duin, R.P.W., Matas, J.: On combining classifiers. IEEE Trans. Pattern Anal. Mach. Intell. 20(3), 226–239 (1998)

    Article  Google Scholar 

  6. Kraus, S.: Strategic Negotiations in Multiagent Environments. The MIT Press, Cambridge (2001)

    MATH  Google Scholar 

  7. Kuncheva, L.: Combining Pattern Classifiers Methods and Algorithms. Wiley, Hoboken (2004)

    Book  Google Scholar 

  8. Lai, G., Li, C., Sycara, K., Giampapa, J.A.: Literature review on multi-attribute negotiations. Technical report CMU-RI-TR-04-66, pp. 1–35 (2004)

    Google Scholar 

  9. Lopes, F., Novais, A.Q., Mamede, N., Coelho, H.: Negotiation among autonomous agents: experimental evaluation of integrative strategies. Artif. Intell. Rev. 29, 1–44 (2008)

    Article  Google Scholar 

  10. Pawlak, Z.: On conflicts. Int. J. Man-Mach. Stud. 21, 127–134 (1984)

    Article  Google Scholar 

  11. Pawlak, Z.: About Conflicts, pp. 1–72. Polish Scientic Publishers, Warsaw (1987). (in Polish)

    Google Scholar 

  12. Pawlak, Z.: Anatomy of conflict. Bull. Eur. Assoc. Theor. Comput. Sci. 50, 234–247 (1993)

    MATH  Google Scholar 

  13. Pawlak, Z.: On some issues connected with conflict analysis. Institute of Computer Science Reports, 37/93, Warsaw University of Technology (1993)

    Google Scholar 

  14. Pawlak, Z.: An inquiry anatomy of conflicts. J. Inform. Sci. 109, 65–78 (1998)

    Article  MathSciNet  Google Scholar 

  15. Pawlak, Z.: Some remarks on conflict analysis. Eur. J. Oper. Res. 166, 649–654 (2005)

    Article  Google Scholar 

  16. Pawlak, Z.: Conflicts and negotations. In: Wang, G.-Y., Peters, J.F., Skowron, A., Yao, Y. (eds.) RSKT 2006. LNCS (LNAI), vol. 4062, pp. 12–27. Springer, Heidelberg (2006). doi:10.1007/11795131_2

    Chapter  Google Scholar 

  17. Przybyła-Kasperek, M., Wakulicz-Deja, A.: Application of reduction of the set of conditional attributes in the process of global decision-making. Fundamenta Informaticae 122(4), 327–355 (2013)

    MathSciNet  MATH  Google Scholar 

  18. Przybyła-Kasperek, M., Wakulicz-Deja, A.: Global decisions taking on the basis of dispersed medical data. In: Ciucci, D., Inuiguchi, M., Yao, Y., Ślęzak, D., Wang, G. (eds.) RSFDGrC 2013. LNCS (LNAI), vol. 8170, pp. 355–365. Springer, Heidelberg (2013). doi:10.1007/978-3-642-41218-9_38

    Chapter  Google Scholar 

  19. Przybyła-Kasperek, M., Wakulicz-Deja, A.: A dispersed decision-making system - the use of negotiations during the dynamic generation of a systems structure. Inf. Sci. 288, 194–219 (2014)

    Article  Google Scholar 

  20. Przybyła-Kasperek, M., Wakulicz-Deja, A.: The strength of coalition in a dispersed decision support system with negotiations. Eur. J. Oper. Res. 252, 947–968 (2016)

    Article  MathSciNet  Google Scholar 

  21. Przybyła-Kasperek, M., Wakulicz-Deja, A.: Global decision-making in multi-agent decision-making system with dynamically generated disjoint clusters. Appl. Soft Comput. 40, 603–615 (2016)

    Article  Google Scholar 

  22. Przybyła-Kasperek, M.: Selected methods of combining classifiers, when predictions are stored in probability vectors, in a dispersed decision-making system. Fundamenta Informaticae 147(2–3), 353–370 (2016)

    Article  MathSciNet  Google Scholar 

  23. Przybyła-Kasperek, M.: Directions of use of the Pawlak’s approach to conflict analysis. In: Thriving Rough Sets–10th Anniversary - Honoring Professor Zdzislaw Pawlak’s Life and Legacy & 35 years of Rough Sets. Studies in Computational Intelligence (2017). ISSN 1860–949X

    Google Scholar 

  24. Rahwan, I., Ramchurn, S., Jennings, N., McBurney, P., Parsons, S., Sonenberg, L.: Argumentation-based negotiation. Knowl. Eng. Rev. 18, 343–375 (2004)

    Article  Google Scholar 

  25. Sandholm, T.: Distributed rational decision making. In: Weiss, G. (ed.) MultiAgent Systems a Modern Approach to Distributed Artificial Intelligence, pp. 201–259. MIT Press, Cambridge (1999)

    Google Scholar 

  26. Schneeweiss, C.: Distributed Decision Making. Springer, Berlin (2003)

    Book  Google Scholar 

  27. Skowron, A., Wang, H., Wojna, A., Bazan, J.: Multimodal classification: case studies. In: Peters, J.F., Skowron, A. (eds.) Transactions on Rough Set. LNCS, vol. Springer, pp. 224–239. 4100, Heidelberg (2006). doi:10.1007/11847465_11

    Chapter  Google Scholar 

  28. Ślȩzak, D., Wróblewski, J., Szczuka, M.: Neural network architecture for synthesis of the probabilistic rule based classifiers. In: Electronic Notes in Theoretical Computer Science, vol. 82. Elsevier (2003)

    Google Scholar 

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Authors and Affiliations

  1. Institute of Computer Science, University of Silesia, Bȩdzińska 39, 41-200, Sosnowiec, Poland

    Małgorzata Przybyła-Kasperek

Authors
  1. Małgorzata Przybyła-Kasperek
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Correspondence to Małgorzata Przybyła-Kasperek .

Editor information

Editors and Affiliations

  1. Polish-Japanese Academy of Information Technology, Warsaw, Poland

    Lech Polkowski

  2. University of Regina, Regina, SK, Canada

    Yiyu Yao

  3. University of Warmia and Mazury, Olsztyn, Poland

    Piotr Artiemjew

  4. University of Milano-Bicocca, Milano, Italy

    Davide Ciucci

  5. Southwest Jiaotong University, Chengdu, China

    Dun Liu

  6. Warsaw University, Warszawa, Poland

    Dominik Ślęzak

  7. Silesian University, Sosnowiec, Poland

    Beata Zielosko

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Przybyła-Kasperek, M. (2017). Methods Based on Pawlak’s Model of Conflict Analysis - Medical Applications. In: Polkowski, L., et al. Rough Sets. IJCRS 2017. Lecture Notes in Computer Science(), vol 10313. Springer, Cham. https://doi.org/10.1007/978-3-319-60837-2_21

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  • DOI: https://doi.org/10.1007/978-3-319-60837-2_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60836-5

  • Online ISBN: 978-3-319-60837-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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