Demo Data from EDBT 2026 / reviewers in the wild / expert
Ernest Czogala
dblp:83/963
· DBLP profile ↗
6ranked-venue papers
4as first author
0since 2021 · last 2001
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 5 · 3 first-authorDatabases, data management, data science and information retrieval · 2 · 1 first-authorHuman-computer interaction and ubiquitous computing · 1 · 1 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Artificial intelligence
1 paper |
Knowledge representation and reasoning · 100% | |
| Theoretical computer science
1 paper |
Algorithms and data structures · 100% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Knowledge, reasoning and agents › Knowledge representation and reasoning › uncertainty reasoning
fuzzy systems |
0.0 | 1 | 1981 | Some Problems Concerning the Construction of Algorithms of Decision-Making in Fuzzy Systems · Int. J. Man Mach. Stud. 1981 |
Methods — techniques the papers use, named apart from their topics
fuzzy logic · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2001 | On equivalence of approximate reasoning results using different interpretations of fuzzy if-then rules
Ernest Czogala, Jacek M. Leski |
Fuzzy Sets Syst. | 1 |
| 1999 | A new artificial neural network based fuzzy inference system with moving consequents in if-then rules and selected applications
Jacek M. Leski, Ernest Czogala |
Fuzzy Sets Syst. | 2 |
| 1998 | Application of entropy and energy measures of fuzziness to processing of ECG signal
Ernest Czogala, Jacek M. Leski |
Fuzzy Sets Syst. | 1 |
| 1993 | Fuzzy neural network with fuzzy signals and weightsabstractWe discuss the direct fuzzification of a standard layered, feedforward, neural network where the signals and weights are fuzzy sets. A fuzzified delta rule is presented for learning. Three applications are given including fuzzy expert systems, fuzzy hierarchical analysis, and fuzzy systems modeling. © 1993 John Wiley & Sons, Inc. Yoichi Hayashi, James J. Buckley, Ernest Czogala |
Int. J. Intell. Syst. | 3 |
| 1988 | Multi-Criteria Decision Making in Terms of Probabilistic Sets
Ernest Czogala |
IPMU | 1 |
| 1981 | Some Problems Concerning the Construction of Algorithms of Decision-Making in Fuzzy Systems
Ernest Czogala, Witold Pedrycz |
Int. J. Man Mach. Stud. | 1 |