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Computer Science

D-Index
33
Citations
6369
World Ranking
12482
National Ranking
32

Overview

Lech Polkowski is affiliated with the Polish-Japanese Academy of Information Technology in Poland. Their research primarily spans the domain of computer science, with a strong emphasis on artificial intelligence and computational theory. The work conducted engages deeply with logical and mathematical foundations as well as applied areas within AI.

The scientist's main fields of study include:

  • Computer Science

The subfields of study cover a range of specialized areas:

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Experimental and Cognitive Psychology
  • Information Systems
  • Software

Their research topics reflect a focus on logical structures and reasoning, as well as foundational and applied computational logic:

  • Logic, Reasoning, and Knowledge
  • Advanced Algebra and Logic
  • Rough Sets and Fuzzy Logic
  • Logic, programming, and type systems
  • Formal Methods in Verification
  • Multi-Agent Systems and Negotiation
  • AI-based Problem Solving and Planning

Lech Polkowski has authored several papers, notable among them are:

  • On the Compactness Property of Mereological Spaces, 2020, Fundamenta Informaticae
  • On rough mereology and VC-dimension in treatment of decision prediction for open world decision systems, 2024, arXiv (Cornell University)
  • Machine Learning via rough mereology, 2024, arXiv (Cornell University)

Two monographs published by Springer Nature contribute to their academic record:

  • Logics for Computer and Data Sciences, and Artificial Intelligence, 2022
  • Logic: Reference Book for Computer Scientists, 2023

Regarding venues where their work frequently appears, the main outlets include:

  • arXiv (Cornell University)
  • Fundamenta Informaticae

Best Publications

  • Rough Sets in Knowledge Discovery 2

    Lech Polkowski;Andrzej Skowron

  • Rough Sets in Knowledge Discovery 2: Applications, Case Studies, and Software Systems

    Lech Polkowski;J. Kacprzyk;A. Skowron

  • Rough mereology: A new paradigm for approximate reasoning

    Lech Polkowski;Andrzej Skowron

  • Rough Sets: Mathematical Foundations

    Lech Polkowski

  • Rough Set Methods and Applications

    Lech Polkowski;Shusaku Tsumoto;Tsau Y. Lin

  • Methodology and applications

    Lech Polkowski;Andrzej Skowron

  • Rough set methods and applications: new developments in knowledge discovery in information systems

    Lech Polkowski;Shusaku Tsumoto;Tsau Young Lin

  • Rough Sets

    Unknown

  • Rough-Neuro-Computing: Techniques for Computing with Words

    Lech Polkowski;Sankar K. Pal;Andrzej Skowron

  • Towards adaptive calculus of granules

    L. Polkowski;A. Skowron

  • Rough Sets

    Lech Polkowski

  • Rough-Neural Computing

    Sankar K. Pal;Lech Polkowski;Andrzej Skowron

  • Rough Set Theory

    Zdzisław Pawlak;Lech Polkowski;Andrzej Skowron

  • Rough Mereology

    Lech Polkowski;Andrzej Skowron

  • Rough sets and current trends in computing : first international conference, RSCTC '98, Warsaw, Poland, June 22-26, 1998 : proceedings

    Rsctc;Lech Polkowski;Andrzej Skowron

  • Rough Mereological Calculi of Granules: A Rough Set Approach to Computation

    Lech Polkowski;Andrzej Skowron

  • Rough sets perspective on data and knowledge

    Andrzej Skowron;Jan Komorowski;Zdzislaw Pawlak;Lech Polkowski

  • Transactions on Rough Sets II

    James F. Peters;Andrzej Skowron;Didier Dubois;Jerzy W. Grzymała-Busse

  • Transactions on Rough Sets VI

    James F. Peters;Andrzej Skowron;Ivo Düntsch;Jerzy Grzymała-Busse

  • Approximate Reasoning by Parts

    Lech Polkowski

  • Approximate Reasoning by Parts: An Introduction to Rough Mereology

    Lech Polkowski

  • Rough mereological foundations for design, analysis, synthesis, and control in distributed systems

    Andrzej Skowron;Lech Polkowski

  • Formal granular calculi based on rough inclusions

    L. Polkowski

  • Rough sets and current trends in computing: proceedings of the 8th international conference

    J. Yao;Y. Yang;R. Slowinski;Salvatore Greco

  • Rough sets for data mining and knowledge discovery

    Jan Komorowski;Lech Polkowski;Andrzej Skowron

Frequent Co-Authors

Andrzej Skowron
Andrzej Skowron University of Warsaw
Shusaku Tsumoto
Shusaku Tsumoto Shimane University
James F. Peters
James F. Peters University of Manitoba
Tsau Young Lin
Tsau Young Lin San Jose State University
Sankar K. Pal
Sankar K. Pal Indian Statistical Institute
Yiyu Yao
Yiyu Yao University of Regina
Jerzy W. Grzymala-Busse
Jerzy W. Grzymala-Busse University of Kansas
Yuefeng Li
Yuefeng Li Queensland University of Technology
Masahiro Inuiguchi
Masahiro Inuiguchi Osaka University
Salvatore Greco
Salvatore Greco University of Portsmouth

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