2006 - Fuzzy Systems Pioneer Award, IEEE Computational Intelligence Society
Janusz Kacprzyk mainly focuses on Artificial intelligence, Fuzzy logic, Fuzzy set, Fuzzy classification and Type-2 fuzzy sets and systems. His work carried out in the field of Artificial intelligence brings together such families of science as Simple and State. His work deals with themes such as Consensus-based assessment and Preference theory, which intersect with Fuzzy logic.
His studies in Fuzzy set integrate themes in fields like Document retrieval, Terminology, Database and Dempster–Shafer theory. Janusz Kacprzyk works mostly in the field of Fuzzy classification, limiting it down to concerns involving Fuzzy set operations and, occasionally, Defuzzification and Fuzzy number. His Type-2 fuzzy sets and systems study combines topics in areas such as Entropy and Majority rule.
His scientific interests lie mostly in Artificial intelligence, Fuzzy logic, Fuzzy set, Fuzzy set operations and Fuzzy classification. His studies examine the connections between Artificial intelligence and genetics, as well as such issues in Machine learning, with regards to Linear partial information. His Fuzzy logic study incorporates themes from Theoretical computer science, Information retrieval, Management science and Database.
His Fuzzy set research incorporates themes from Data mining and Algebra. His Fuzzy set operations research is multidisciplinary, incorporating elements of Neuro-fuzzy and Pattern recognition. Janusz Kacprzyk combines subjects such as Fuzzy number and Defuzzification with his study of Fuzzy classification.
His main research concerns Artificial intelligence, Cluster analysis, Human–computer interaction, Intelligent decision support system and Fuzzy logic. His study on Computational intelligence is often connected to Information processing as part of broader study in Artificial intelligence. Janusz Kacprzyk interconnects Data mining and Names of the days of the week in the investigation of issues within Cluster analysis.
Janusz Kacprzyk has researched Human–computer interaction in several fields, including Field, Mathematical model and Collective intelligence. The concepts of his Fuzzy logic study are interwoven with issues in Intelligent control and Clique, Combinatorics. The various areas that Janusz Kacprzyk examines in his Type study include Fuzzy set, Mathematical optimization, Deterministic system and State-transition equation.
Janusz Kacprzyk mainly focuses on Computational intelligence, Artificial intelligence, Fuzzy logic, Management science and Soft computing. His Computational intelligence study improves the overall literature in Machine learning. Janusz Kacprzyk integrates several fields in his works, including Fuzzy logic and Work.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Distances between intuitionistic fuzzy sets
Eulalia Szmidt;Janusz Kacprzyk.
Fuzzy Sets and Systems (2000)
The Ordered Weighted Averaging Operators: Theory and Applications
Ronald R. Yager;Janusz Kacprzyk.
(1997)
Rough Sets in Knowledge Discovery 2: Applications, Case Studies, and Software Systems
Lech Polkowski;J. Kacprzyk;A. Skowron.
(1998)
Entropy for intuitionistic fuzzy sets
Eulalia Szmidt;Janusz Kacprzyk.
Fuzzy Sets and Systems (2001)
Group decision making with a fuzzy linguistic majority
J Kacprzyk.
Fuzzy Sets and Systems (1986)
Advances in the Dempster-Shafer theory of evidence
Ronald R. Yager;Janusz Kacprzyk;Mario Fedrizzi.
(1994)
Fuzzy Logic for the Management of Uncertainty
Lotfi A. Zadeh;Janusz Kacprzyk.
(1992)
Type-2 Fuzzy Logic: Theory and Applications
O. Castillo;P. Melin;J. Kacprzyk;W. Pedrycz.
(2007)
Uncertainty-Based Information: Elements of Generalized Information Theory
George J. Klir;Mark J. Wierman;J. Kacprzyk.
(1998)
Group decision making and consensus under fuzzy preferences and fuzzy majority
Janusz Kacprzyk;Mario Fedrizzi;Hannu Nurmi.
Fuzzy Sets and Systems (1992)
Profile was last updated on December 6th, 2021.
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