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Zdzisław pawlak: life and work

January 2006
Pages 1 - 24
Published: 01 January 2006 Publication History

Abstract

Professor Pawlak’s most widely recognized contribution is his incisive approach to classifying objects with their attributes (features) and his introduction of approximation spaces, which establish the foundations of granular computing and provide frameworks for perception and knowledge discovery in many areas. He was with us only for a short time and, yet, when we look back at his accomplishments, we realize how greatly he has influenced us with his generous spirit and creative work in many areas such as approximate reasoning, intelligent systems research, computing models, mathematics (especially, rough set theory), molecular computing, pattern recognition, philosophy, art, and poetry. This article attempts to give a vignette that highlights some of Pawlak’s remarkable accomplishments. This vignette is limited to a brief coverage of Pawlak’s work in rough set theory, molecular computing, philosophy, painting and poetry. Detailed coverage of these as well as other accomplishments by Pawlak is outside the scope of this commemorative article.

References

[1]
Cantor, G.: Grundlagen einer allgemeinen Mannigfaltigkeitslehre. B.G. Teubner, Leipzig, Germany (1883).
[2]
Frege, G.: Grundgesetzen der Arithmetik, vol. II. Verlag von Hermann Pohle, Jena, Germany (1903).
[3]
Gheorghe, M., Mitrana, V.: A formal language-based approach in biology. Comparative and Functional Genomics 5(1) (2004) 91-94.
[4]
Hazelwinkel, M. (Ed.): Encyclopaedia of Mathematics. Kluwer Academic Publishers, Dordrecht, 1995, 213.
[5]
Keefe, R.: Theories of Vagueness. Cambridge Studies in Philosophy, Cambridge, UK (2000).
[6]
Komorowski, J., Pawlak, Z., Polkowski, L., Skowron, A.: Rough sets: A tutorial. In: Pal, S., Skowron, A.: Rough Fuzzy Hybridization. A New Trend in Decision Making. Springer-Verlag, Singapore Pte. Ltd. (1999) 3-98.
[7]
Konrad, E., Orłowska, E., Pawlak, Z.: Knowledge representation systems. Definability of information, Research Report PAS 433, Institute of Computer Science, Polish Academy of Sciences, April (1981).
[8]
Konrad, E., Orłowska, E., Pawlak, Z.: On approximate concept learning. Report 81-07, Fachbereich Informatik, TU Berlin, Berlin 1981; short version in: Collected Talks, European Conference on Artificial Intelligence 11/5, Orsay/Paris (1982) 17-19.
[9]
Lesniewski, S.: Grungzüge eines neuen Systems der Grundlagen der Mathematik. Fundamenta Mathematicae 14 (1929) 1-81.
[10]
Lesniewski, S.: On the foundations of mathematics. Topoi 2 (1982) 7-52.
[11]
Marek, W., Pawlak, Z.: Information storage and retrieval systems: Mathematical foundations. Theoretical Computer Science 1 (1976) 331-354.
[12]
Orłowska, E., Pawlak, Z.: Expressive power of knowledge representation systems. Research Report PAS 432, Institute of Computer Science, Polish Academy of Sciences, April (1981).
[13]
Pawlak, Z.: Flip-flop as generator of random binary digits. Mathematical Tables and other Aids to Computation 10(53) (1956) 28-30.
[14]
Pawlak, Z.: Some remarks on "-2" computer. Bulletin of the Polish Academy of Sciences. Ser. Tech. 9(4) (1961) 22-28.
[15]
Pawlak, Z.: Grammar and Mathematics. (in Polish), PZWS, Warsaw (1965).
[16]
Pawlak, Z.: Organization of address-less computers working in parenthesis notation. Zeitschrift für Mathematische Logik und Grundlagen der Mathematik 3 (1965) 243-262.
[17]
Pawlak, Z.: Organization of Address-Less Computers. (in Polish), Polish Scientific Publishers, Warsaw (1965).
[18]
Pawlak, Z.: On the notion of a computer. Logic, Methodology and Philosophy of Science 12, North Holland, Amsterdam (1968) 225-242.
[19]
Pawlak, Z.: Theory of digital computers. Mathematical Machines 10 (1969) 4-31.
[20]
Pawlak, Z.: Mathematical Aspects of Production Organization (in Polish), Polish Economic Publishers, Warsaw (1969).
[21]
Pawlak, Z.: A mathematical model of digital computers. Automatentheorie und Formale Sprachen (1973) 16-22.
[22]
Pawlak, Z.: Mathematical foundations of information retrieval, Proceedings of Symposium of Mathematical Foundations of Computer Science, September 3-8, 1973, High Tartras, 135-136; see also: Mathematical Foundations of Information Retrieval, Computation Center, Polish Academy of Sciences, Research Report CC PAS Report 101 (1973).
[23]
Pawlak, Z., Rozenberg, G., Savitch, W. J.: Programs for instruction machines. Information and Control 41(1) (1979) 9-28.
[24]
Pawlak, Z.: Information systems-Theoretical foundations. Information Systems 6(3) (1981) 205-218.
[25]
Pawlak, Z.: Classification of objects by means of attributes, Research Report PAS 429, Institute of Computer Science, Polish Academy of Sciences, ISSN 138-0648, January (1981).
[26]
Pawlak, Z.: Rough Sets, Research Report PAS 431, Institute of Computer Science, Polish Academy of Sciences (1981).
[27]
Pawlak, Z.: Rough sets. International Journal of Computer and Information Sciences 11 (1982) 341-356.
[28]
Pawlak, Z.: Information Systems: Theoretical Foundations. (in Polish), WNT, Warsaw (1983).
[29]
Pawlak, Z.: Rough classification. International Journal of Man-Machine Studies 20(5) (1984) 469-483.
[30]
Pawlak, Z.: On conflicts. International Journal of Man-Machine Studies 21 (1984) 127-134.
[31]
Pawlak, Z.: On Conflicts (in Polish), Polish Scientific Publishers, Warsaw (1987).
[32]
Pawlak, Z.: Rough Sets - Theoretical Aspects of Reasoning about Data. Kluwer Academic Publishers (1991).
[33]
Pawlak, Z.: Anatomy of conflict. Bulletin of the European Association for Theoretical Computer Science 50 (1993) 234-247.
[34]
Pawlak, Z.: An inquiry into anatomy of conflicts. Journal of Information Sciences 109 (1998) 65-78.
[35]
Pawlak, Z., Skowron, A.: Rudiments of rough sets. Information Sciences. An International Journal. Elsevier (2006) {to appear}.
[36]
Pawlak, Z., Skowron, A.: Rough sets: Some extensions. Information Sciences. An International Journal. Elsevier (2006) {to appear}.
[37]
Pawlak, Z., Skowron, A.: Rough sets and Boolean reasoning. Information Sciences. An International Journal. Elsevier (2006) {to appear}.
[38]
Polkowski, L., Skowron, A.: Rough mereology: A new paradigm for approximate reasoning. International Journal of Approximate Reasoning 15(4) (1996) 333-365.
[39]
Rough Set Database System, version 1.3: http://rsds.wsiz.rzeszow.pl/pomoc9.html.
[40]
Russell, B.: The Principles of Mathematics. G. Allen & Unwin, Ltd, London (1903).
[41]
Wikipedia summary of the life and work of Z. Pawlak: http://pl.wikipedia.org/wiki/Zdzislaw_Pawlak
[42]
Zadeh, L.A.: A new direction in AI: Toward a computational theory of perceptions. AI Magazine 22(1) (2001) 73-84.
[43]
Alpigini, J. J., Peters, J. F., Skowron, A., Zhong, N. (Eds.): Third International Conference on Rough Sets and Current Trends in Computing (RSCTC'2002), Malvern, PA, October 14-16, 2002, Lecture Notes in Artificial Intelligence, vol. 2475. Springer-Verlag, Heidelberg, 2002.
[44]
Cios, K., Pedrycz, W., Swiniarski, R.: Data Mining Methods for Knowledge Discovery. Kluwer, Norwell, MA, 1998.
[45]
Czaja, L., Burkhard, H.D., Lindeman, G., Suraj Z. (Eds.): Special Issue on Currency Specification and Programming. Fundamenta Informaticae 67(1-3), 2005.
[46]
Demri, S., Orłowska, E. (Eds.): Incomplete Information: Structure, Inference, Complexity. Monographs in Theoretical Computer Sience, Springer-Verlag, Heidelberg, 2002.
[47]
Doherty, P. Łukaszewicz, W., Skowron, A., Szałas, A.: Knowledge Engineering: A Rough Set Approach. Series in Fuzzines and Soft Computing 202, Springer, Heidelberg, 2006.
[48]
Dunin-Keplicz, B., Jankowski, A., Skowron, A., Szczuka, M. (Eds.): Monitoring, Security, and Rescue Tasks in Multiagent Systems (MSRAS'2004). Advances in Soft Computing, Springer, Heidelberg, 2005.
[49]
Dúntsch, I., Gediga, G.: Rough Set Data Analysis: A Road to Non-invasive Knowledge Discovery. Methodos Publishers, Bangor, UK, 2000.
[50]
Grzymała-Busse, J. W.: Managing Uncertainty in Expert Systems. Kluwer Academic Publishers, Norwell, MA, 1990.
[51]
Hirano, S., Inuiguchi, M., Tsumoto, S. (Eds.): Proceedings of International Workshop on Rough Set Theory and Granular Computing (RSTGC'2001), Matsue, Shimane, Japan, May 20-22, 2001, Bulletin of the International Rough Set Society, vol. 5(1-2). International Rough Set Society, Matsue, Shimane, 2001.
[52]
Inuiguchi, M., Hirano, S., Tsumoto, S. (Eds.): Rough Set Theory and Granular Computing. Studies in Fuzziness and Soft Computing, vol. 125. Springer-Verlag, Heidelberg, 2003.
[53]
Inuiguchi, M., Greco, S., Miyamoto, S., Nguyen, H.S., Słowinski, R. (Eds.): Int. Conf. on Rough Sets and Current Trends in Computing. Lecture Notes in Artificial Intelligence. Kobe, Japan, 6-8 November, (2006) {to appear}.
[54]
Kostek, B.: Soft Computing in Acoustics, Applications of Neural Networks, Fuzzy Logic and Rough Sets to Physical Acoustics, Studies in Fuzziness and Soft Computing, vol. 31. Physica-Verlag, Heidelberg, 1999.
[55]
Kostek, B.: Perception-Based Data Processing in Acoustics. Applications to Music Information Retrieval and Psychophysiology of Hearing, Studies in Computational Intelligence, vol. 3. Springer, Heidelberg, 2005.
[56]
Lin, T. Y. (Ed.): Special issue, Journal of the Intelligent Automation and Soft Computing, vol. 2(2). 1996.
[57]
Lin, T. Y., Cercone, N. (Eds.): Rough Sets and Data Mining - Analysis of Imperfect Data. Kluwer Academic Publishers, Boston, USA, 1997.
[58]
Lin, T. Y., Wildberger, A. M. (Eds.): Soft Computing: Rough Sets, Fuzzy Logic, Neural Networks, Uncertainty Management, Knowledge Discovery. Simulation Councils, Inc., San Diego, CA, USA, 1995.
[59]
Lin, T. Y., Yao, Y. Y., Zadeh, L. A. (Eds.): Rough Sets, Granular Computing and Data Mining. Studies in Fuzziness and Soft Computing, Physica-Verlag, Heidelberg, 2001.
[60]
Mitra, S., Acharya, T.: Data Mining. Multimedia, Soft Computing, and Bioinformatics. John Wiley & Sons, New York, NY, 2003.
[61]
Munakata, T.: Fundamentals of the New Artificial Intelligence: Beyond Traditional Paradigms. Graduate Texts in Computer Science, vol. 10. Springer-Verlag, New York, NY, 1998.
[62]
Orłowska, E. (Ed.): Incomplete Information: Rough Set Analysis. Studies in Fuzziness and Soft Computing, vol. 13. Springer-Verlag/Physica-Verlag, Heidelberg, 1997.
[63]
Pal, S. K., Pedrycz, W., Skowron, A., Swiniarski, R. (Eds.): Special volume: Rough-neuro computing, Neurocomputing, vol. 36. 2001.
[64]
Pal, S. K., Polkowski, L., Skowron, A. (Eds.): Rough-Neural Computing: Techniques for Computing with Words. Cognitive Technologies, Springer-Verlag, Heidelberg, 2004.
[65]
Pal, S. K., Skowron, A. (Eds.): Rough Fuzzy Hybridization: A New Trend in Decision-Making. Springer-Verlag, Singapore, 1999.
[66]
Pawlak, Z.: Rough Sets: Theoretical Aspects of Reasoning about Data. System Theory, Knowledge Engineering and Problem Solving, vol. 9. Kluwer Academic Publishers, Dordrecht, The Netherlands, 1991.
[67]
Pawlak, Z., Grzymała-Busse, J., Slowinski, R., Ziarko, W. (Eds.): Rough Sets. Special Issue of the Communications of the ACM 38(11), Nov. (1995).
[68]
Pawlak, Z., Polkowski, L., Skowron, A.: Rough sets and rough logic: A KDD perspective. In: Polkowski et al. {78}, pp. 583-646.
[69]
Peters, J.F. (Ed.): Threads in Fuzzy Petri Net Research. Special Issue of the International Journal of Intelligent Systems 14(8), Aug. (1999).
[70]
Peters, J.F., Skowron, A. (Eds.): A Rough Set Approach to Reasoning About Data. Special Issue of the International Journal of Intelligent Systems 16(1), Jan. (2001).
[71]
Peters, J.F., Skowron, A.: Transactions on Rough Sets: Journal Subline, Lecture Notes in Computer Science, Springer http://www.springer.com/east/home/computer/lncs?SGWID=5-164-6-73656-0.
[72]
Peters, J. F., Skowron, A. (Eds.): Transactions on Rough Sets I: Journal Subline, Lecture Notes in Computer Science, vol. 3100. Springer, Heidelberg, 2004.
[73]
Peters, J. F., Skowron, A. (Eds.): Transactions on Rough Sets III: Journal Subline, Lecture Notes in Computer Science, vol. 3400. Springer, Heidelberg, 2005.
[74]
Peters, J. F., Skowron, A. (Eds.): Transactions on Rough Sets IV: Journal Subline, Lecture Notes in Computer Science, vol. 3700. Springer, Heidelberg, 2005.
[75]
Peters, J. F., Skowron, A., Dubois, D., Grzymała-Busse, J. W., Inuiguchi, M., Polkowski, L. (Eds.): Transactions on Rough Sets II. Rough sets and fuzzy sets: Journal Subline, Lecture Notes in Computer Science, vol. 3135. Springer, Heidelberg, 2004.
[76]
Peters, J. F., Skowron, A., Wang, G., Yao, Y. (Eds.): Rough Sets and Knowledge Technology (RSKT 2006), Chongqing, China, July 24-26, 2006. Lecture Notes in Artificial Intelligence vol. 4062. Springer-Verlag, Heidelberg, GermanyJuly (2006). {to appear} See http://cs.cqupt.edu.cn/crssc/rskt2006/.
[77]
Polkowski, L.: Rough Sets: Mathematical Foundations. Advances in Soft Computing, Physica-Verlag, Heidelberg, 2002.
[78]
Polkowski, L., Lin, T. Y., Tsumoto, S. (Eds.): Rough Set Methods and Applications: New Developments in Knowledge Discovery in Information Systems. Studies in Fuzziness and Soft Computing, vol. 56. Springer-Verlag/Physica-Verlag, Heidelberg, 2000.
[79]
Polkowski, L., Skowron, A. (Eds.): First International Conference on Rough Sets and Soft Computing RSCTC'1998, Lecture Notes in Artificial Intelligence, vol. 1424. Springer-Verlag, Warsaw, Poland, 1998.
[80]
Polkowski, L., Skowron, A. (Eds.): Rough Sets in Knowledge Discovery 1: Methodology and Applications. Studies in Fuzziness and Soft Computing, vol. 18. Physica-Verlag, Heidelberg, 1998.
[81]
Polkowski, L., Skowron, A. (Eds.): Rough Sets in Knowledge Discovery 2: Applications, Case Studies and Software Systems. Studies in Fuzziness and Soft Computing, vol. 19. Physica-Verlag, Heidelberg, 1998.
[82]
Skowron, A., Ohsuga, S., Zhong, N. (Eds.): Proceedings of the 7-th International Workshop on Rough Sets, Fuzzy Sets, Data Mining, and Granular-Soft Computing (RSFDGrC'99), Yamaguchi, November 9-11, 1999, Lecture Notes in Artificial Intelligence, vol. 1711. Springer-Verlag, Heidelberg, 1999.
[83]
Skowron, A., Pal, S. K. (Eds.): Special volume: Rough sets, pattern recognition and data mining, Pattern Recognition Letters, vol. 24(6). 2003.
[84]
Skowron, A., Pawlak, Z., Komorowski, J., Polkowski, L.: A rough set perspective on data and knowledge. In: W. Kloesgen, J. Zytkow (Eds.), Handbook of KDD, Oxford University Press, Oxford. 2002, pp. 134-149.
[85]
Skowron, A., Szczuka, M. (Eds.): Proceedings of the Workshop on Rough Sets in Knowledge Discovery and Soft Computing at ETAPS 2003, April 12-13, 2003, Electronic Notes in Computer Science, vol. 82(4). Elsevier, Amsterdam, Netherlands, 2003. http://www.elsevier.nl/locate/entcs/volume82.html
[86]
Slezak, D., Wang, G., Szczuka, M., Düntsch, I., Yao Y.Y. (Eds.): Proceedings of the 10th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (RSFDGrC'2005), Regina, Canada, August 31-September 3, 2005, Part I, Lecture Notes in Artificial Intelligence, vol. 3641. Springer-Verlag, Heidelberg, 2005.
[87]
Slezak, D., Yao, J. T., Peters, J. F., Ziarko, W., Hu, X. (Eds.): Proceedings of the 10th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (RSFDGrC'2005), Regina, Canada, August 31-September 3, 2005, Part II, Lecture Notes in Artificial Intelligence, vol. 3642. Springer-Verlag, Heidelberg, 2005.
[88]
Słowinski, R. (Ed.): Intelligent Decision Support - Handbook of Applications and Advances of the Rough Sets Theory. System Theory, Knowledge Engineering and Problem Solving, vol. 11. Kluwer Academic Publishers, Dordrecht, The Netherlands, 1992.
[89]
Terano, T., Nishida, T., Namatame, A., Tsumoto, S., Ohsawa, Y., Washio, T. (Eds.): New Frontiers in Artificial Intelligence, Joint JSAI'2001 Workshop Post-Proceedings. Lecture Notes in Artificial Intelligence, vol. 2253. Springer-Verlag, Heidelberg, 2001.
[90]
Tsumoto, S. (Ed.): Bulletin of International Rough Set Society (IRSS) vol. 1-6, 1997-2002. http://www2.cs.uregina.ca/ yyao/irss/bulletin.html
[91]
Tsumoto, S., Kobayashi, S., Yokomori, T., Tanaka, H., Nakamura, A. (Eds.): Proceedings of the The Fourth Internal Workshop on Rough Sets, Fuzzy Sets and Machine Discovery, November 6-8, University of Tokyo, Japan. The University of Tokyo, Tokyo, 1996.
[92]
Tsumoto, S., Słowinski, R., Komorowski, J., Grzymała-Busse, J. (Eds.): Proceedings of the 4th International Conference on Rough Sets and Current Trends in Computing (RSCTC'2004), Uppsala, Sweden, June 1-5, 2004, Lecture Notes in Artificial Intelligence, vol. 3066. Springer-Verlag, Heidelberg, 2004.
[93]
Wang, G., Liu, Q., Yao, Y., Skowron, A. (Eds.): Proceedings of the 9-th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (RSFDGrC'2003), Chongqing, China, May 26-29, 2003, Lecture Notes in Artificial Intelligence, vol. 2639. Springer-Verlag, Heidelberg, 2003.
[94]
Zhong, N., Liu, J. (Eds.): Intelligent Technologies for Information Analysis. Springer, Heidelberg, 2004.
[95]
Ziarko, W. (Ed.): Rough Sets, Fuzzy Sets and Knowledge Discovery: Proceedings of the Second International Workshop on Rough Sets and Knowledge Discovery (RSKD'93), Banff, Alberta, Canada, October 12-15 (1993). Workshops in Computing, Springer-Verlag & British Computer Society, London, Berlin, 1994.
[96]
Ziarko, W. (Ed.): Special issue, Computational Intelligence: An International Journal, vol. 11(2). 1995.
[97]
Ziarko, W. (Ed.): Special issue, Fundamenta Informaticae, vol. 27(2-3). 1996.
[98]
Ziarko, W., Yao, Y.Y., (Eds.): Proceedings of the 2nd International Conference on Rough Sets and Current Trends in Computing (RSCTC'2000), Banff, Canada, October 16-19, 2000, Lecture Notes in Artificial Intelligence, vol. 2005. Springer-Verlag, Heidelberg, 2001.
[99]
IFSA/IEEE Fifth Int. Conf. on Hybrid Intelligent Systems, Rio de Janeiro, Brazil, 6-9 Nov. (2005). See http://www.ica.ele.puc-rio.br/his05/index.html
[100]
IEEE/WIC/ACM Int. Conf. on Intelligent Agent Technology, Complègne University of Technology, France, 19-22 Sept. (2005).
[101]
The 3rd Int. Conf. on Autonomous Robots and Agents, Palmerston North, New Zealand 12-14 Dec. (2006). See http://icara.massey.ac.nz/.
[102]
International Symposium on Methodologies for Intelligent Systems (ISMIS) http://www.informatik.uni-trier.de/~ley/db/conf/ismis/index.html
[103]
Information Processing and Management of Uncertainty (IPMU) http://www.informatik.uni-trier.de/~ley/db/conf/ipmu/index.html

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cover image Guide books
Transactions on Rough Sets V
January 2006
507 pages
ISBN:354039382X
  • Editors:
  • James F. Peters,
  • Andrzej Skowron

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Springer-Verlag

Berlin, Heidelberg

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Published: 01 January 2006

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