World's Best Scientists 2026 revealed!

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Computer Science

D-Index
36
Citations
8000
World Ranking
11046
National Ranking
22

Overview

Eulalia Szmidt is affiliated with the Systems Research Institute in Poland. Their research focuses primarily on areas within Computer Science and Decision Sciences, with significant contributions across applied artificial intelligence and operations research.

The main fields of study for their work include:

  • Computer Science
  • Decision Sciences

Subfields where Szmidt has made contributions encompass:

  • Artificial Intelligence
  • Management Science and Operations Research
  • Statistics and Probability
  • Control and Systems Engineering
  • Computational Theory and Mathematics

Key topics addressed in their publications are:

  • Multi-Criteria Decision Making
  • Intuitionistic Fuzzy Systems Applications
  • Fuzzy Logic and Control Systems
  • Cognitive Science and Mapping
  • Fuzzy Systems and Optimization
  • Optimization and Mathematical Programming
  • Neural Networks and Applications

Szmidt has contributed to various publication venues, frequently publishing in:

  • Notes on Intuitionistic Fuzzy Sets
  • Journal of Artificial Intelligence and Soft Computing Research
  • 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
  • International Journal of Applied Mathematics and Computer Science
  • Control and Cybernetics

Notable recent papers include:

  • "Ranking of Alternatives Described by Atanassov's Intuitionistic Fuzzy Sets - A Critical Review" (2022), 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
  • "Ranking of Alternatives Described by Atanassov's Intuitionistic Fuzzy Sets - Reconciling Some Misunderstandings" (2024), Journal of Artificial Intelligence and Soft Computing Research
  • "Similarity measures for Atanassov's intuitionistic fuzzy sets: some dilemmas and challenges" (2022), Control and Cybernetics

Szmidt has also been involved in book publications, with works published by Springer Nature and Springer International Publishing, including titles focused on uncertainty and imprecision in decision making:

  • Uncertainty and Imprecision in Decision Making and Decision Support: New Challenges, Solutions and Perspectives (2020)
  • Uncertainty and Imprecision in Decision Making and Decision Support - New Advances, Challenges, and Perspectives (2023)

Frequent co-authors in Szmidt's research include:

  • Janusz Kacprzyk
  • Jan W. Owsiński
  • Sławomir Zadrożny
  • Paweł Bujnowski
  • Krassimir Atanassov

Best Publications

  • Distances between intuitionistic fuzzy sets

    Eulalia Szmidt;Janusz Kacprzyk

  • Entropy for intuitionistic fuzzy sets

    Eulalia Szmidt;Janusz Kacprzyk

  • A Similarity Measure for Intuitionistic Fuzzy Sets and Its Application in Supporting Medical Diagnostic Reasoning

    Eulalia Szmidt;Janusz Kacprzyk

  • Using intuitionistic fuzzy sets in group decision making

    E. Szmidt;J. Kacprzyk

  • A consensus-reaching process under intuitionistic fuzzy preference relations

    Eulalia Szmidt;Janusz Kacprzyk

  • Intuitionistic Fuzzy Sets in some Medical Applications

    Eulalia Szmidt;Janusz Kacprzyk

  • Distances and Similarities in Intuitionistic Fuzzy Sets

    Eulalia Szmidt

  • How to measure the amount of knowledge conveyed by Atanassov's intuitionistic fuzzy sets

    Eulalia Szmidt;Janusz Kacprzyk;Paweł Bujnowski

  • A new concept of a similarity measure for intuitionistic fuzzy sets and its use in group decision making

    Eulalia Szmidt;Janusz Kacprzyk

  • Amount of Information and Its Reliability in the Ranking of Atanassov’s Intuitionistic Fuzzy Alternatives

    Eulalia Szmidt;Janusz Kacprzyk

  • Group decision making under intuitionistic fuzzy preference relations

    E Szmidt;J Kacprzyk

  • An intuitionistic fuzzy set based approach to intelligent data analysis: an application to medical diagnosis

    Eulalia Szmidt;Janusz Kacprzyk

  • Intuitionistic Fuzzy Sets in Intelligent Data Analysis for Medical Diagnosis

    Eulalia Szmidt;Janusz Kacprzyk

  • Algorithms for estimating missing elements of incomplete intuitionistic preference relations

    Zeshui Xu;Xiaoqiang Cai;Eulalia Szmidt

  • Distances Between Intuitionistic Fuzzy Sets: Straightforward Approaches may not work

    Eulalia Szmidt;Janusz Kacprzyk

  • Correlation of intuitionistic fuzzy sets

    Eulalia Szmidt;Janusz Kacprzyk

  • Evaluation of agreement in a group of experts via distances between intuitionistic fuzzy preferences

    E. Szmidt;J. Kacprzyk

  • Some Problems with Entropy Measures for the Atanassov Intuitionistic Fuzzy Sets

    Eulalia Szmidt;Janusz Kacprzyk

  • A New Similarity Measure for Intuitionistic Fuzzy Sets: Straightforward Approaches may not work

    E. Szmidt;J. Kacprzyk

  • A concept of similarity for intuitionistic fuzzy sets and its use in group decision making

    E. Szmidt;J. Kacprzyk

  • Applications of intuitionistic Fuzzy sets in decision making

    Eulalia Szmidt;Janusz Kacprzyk

  • Fuzzy thinking. The new science of fuzzy logic

    Eulalia Szmidt

Frequent Co-Authors

Janusz Kacprzyk
Janusz Kacprzyk Systems Research Institute
Krassimir T. Atanassov
Krassimir T. Atanassov Bulgarian Academy of Sciences
Sławomir Zadrożny
Sławomir Zadrożny Systems Research Institute
Patricia Melin
Patricia Melin Instituto Tecnológico de Tijuana
Oscar Castillo
Oscar Castillo Instituto Tecnológico de Tijuana
Xiaoqiang Cai
Xiaoqiang Cai Chinese University of Hong Kong
Etienne Kerre
Etienne Kerre Ghent University
Zeshui Xu
Zeshui Xu Sichuan University

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