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Transactions on Rough Sets V pp 1–24Cite as

Zdzisław Pawlak: Life and Work

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Part of the Lecture Notes in Computer Science book series (TRS,volume 4100)

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.

Keywords

  • Knowledge Discovery
  • Soft Computing
  • Polish Academy
  • Approximation Space
  • Approximate Reasoning

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Authors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, Manitoba, R3T 5V6, Canada

    James F. Peters

  2. Andrzej Skowron Warsaw University Institute of Mathematics, Banacha 2, 02-097Warsaw, Poland

    Andrzej Skowron

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  1. James F. Peters
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Editors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Manitoba, R3T 5V6, Winnipeg, Manitoba, Canada

    James F. Peters

  2. Institute of Mathematics, Warsaw University, Banacha 2, 02-097, Warsaw, Poland

    Andrzej Skowron

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Peters, J.F., Skowron, A. (2006). Zdzisław Pawlak: Life and Work. In: Peters, J.F., Skowron, A. (eds) Transactions on Rough Sets V. Lecture Notes in Computer Science, vol 4100. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11847465_1

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