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Computer Science
Germany
2025

D-Index & Metrics

Computer Science

D-Index
63
Citations
20145
World Ranking
2709
National Ranking
117

Research.com Recognitions

  • 2025 - Research.com Computer Science in Germany Leader Award
  • 2022 - Research.com Computer Science in Germany Leader Award
  • 2005 - IEEE Fellow For contributions to fuzzy learning, theory and applications.

Overview

Rudolf Kruse is affiliated with Otto-von-Guericke University Magdeburg in Germany. The primary fields of study for this researcher include Computer Science, Engineering, and Decision Sciences.

The subfields of study prominent in their work consist of Artificial Intelligence, Computational Theory and Mathematics, Management Science and Operations Research, Control and Systems Engineering, and Electrical and Electronic Engineering.

Their research covers a range of main topics, which include:

  • Fuzzy Logic and Control Systems
  • Neural Networks and Applications
  • Bayesian Modeling and Causal Inference
  • Evolutionary Algorithms and Applications
  • AI-based Problem Solving and Planning
  • Multi-Criteria Decision Making
  • Artificial Intelligence in Games

Rudolf Kruse has frequently collaborated with several co-authors, including:

  • Sanaz Mostaghim
  • Christian Borgelt
  • Christian Braune
  • Matthias Steinbrecher
  • Alexander Dockhorn

Their publications span a variety of venues, such as:

  • International Journal of Computational Intelligence Systems
  • MMWR Morbidity and Mortality Weekly Report
  • at - Automatisierungstechnik

Examples of recent papers authored or co-authored by Rudolf Kruse include:

  • "Predicting Cards Using a Fuzzy Multiset Clustering of Decks," 2020, International Journal of Computational Intelligence Systems
  • "Notes from the Field: Response to a Case of Travel-Associated Lassa Fever - Iowa, October-November 2024," 2025, MMWR Morbidity and Mortality Weekly Report
  • "Modellheuristiken für effizientes forward model learning," 2021, at - Automatisierungstechnik

In addition to journal articles, Rudolf Kruse has contributed to the academic book literature with a publication through Springer International Publishing. This includes the book titled Computational Intelligence, published in 2022.

Rudolf Kruse received the IEEE Fellow award in 2005 for contributions to fuzzy learning, theory, and applications.

Best Publications

  • Fuzzy Cluster Analysis: Methods for Classification, Data Analysis and Image Recognition

    V. J. Rayward-Smith;F. Hoppner;F. Klawonn;R. Kruse

  • Foundations of neuro-fuzzy systems

    Detlef Nauck;Frank Klawonn;Rudolf Kruse

  • Foundations of Fuzzy Systems

    Rudolf Kruse;Joan E. Gebhardt;F. Klowon

  • Symbolic and quantitative approaches to reasoning with uncertainty

    Michael Clarke;Rudolf Kruse;Serafín Moral

  • Statistics with vague data

    Rudolf Kruse;Klaus Dieter Meyer

  • Fuzzy Control

    Unknown

  • A neuro-fuzzy method to learn fuzzy classification rules from data

    Detlef Nauck;Rudolf Kruse

  • Obtaining interpretable fuzzy classification rules from medical data

    Detlef D. Nauck;Rudolf Kruse

  • Induction of Association Rules: Apriori Implementation

    Christian Borgelt;Rudolf Kruse

  • Uncertainty and Vagueness in Knowledge Based Systems: Numerical Methods

    Erhard Schwecke;Rudolf Kruse;Jochen Heinsohn

  • Neuro-fuzzy systems for function approximation

    Detlef Nauck;Rudolf Kruse

  • NEFCLASSmdash;a neuro-fuzzy approach for the classification of data

    Detlauf Nauck;Rudolf Kruse

  • Computational Intelligence: A Methodological Introduction

    Rudolf Kruse;Christian Borgelt;Christian Braune;Sanaz Mostaghim

  • Uncertainty and vagueness in knowledge based systems

    Rudolf Kruse;Erhard Schwecke;Jochen Heinsohn

  • An extension to possibilistic fuzzy cluster analysis

    Heiko Timm;Christian Borgelt;Christian Döring;Rudolf Kruse

  • Design of Fuzzy Controllers

    Kai Michels;Frank Klawonn;Rudolf Kruse;Andreas Nürnberger

  • Fuzzy Control: Fundamentals, Stability and Design of Fuzzy Controllers

    Kai Michels;Frank Klawonn;Rudolf Kruse;Andreas Nürnberger

  • Fusion: General concepts and characteristics

    Isabelle Bloch;Anthony A. Hunter;Alain A. Appriou;Andr A. Ayoun

  • Constructing a fuzzy controller from data

    Frank Klawonn;Rudolf Kruse

  • Graphical Models: Methods for Data Analysis and Mining

    Christian Borgelt;Rudolf Kruse

  • Equality relations as a basis for fuzzy control

    F. Klawonn;R. Kruse

Frequent Co-Authors

Frank Klawonn
Frank Klawonn Helmholtz Centre for Infection Research
Markus M. Nöthen
Markus M. Nöthen University Hospital Bonn
Tim Becker
Tim Becker University of Bonn
Eyke Hüllermeier
Eyke Hüllermeier Ludwig-Maximilians-Universität München
Hermann Hinrichs
Hermann Hinrichs Otto-von-Guericke University Magdeburg
Didier Dubois
Didier Dubois Paul Sabatier University
Frank Hoffmann
Frank Hoffmann TU Dortmund University
Axel M. Hillmer
Axel M. Hillmer University of Cologne
Serafín Moral
Serafín Moral University of Granada
Hans-Jochen Heinze
Hans-Jochen Heinze Otto-von-Guericke University Magdeburg

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