Rule based design using clustering for knowledge acquisition
Year of publication: |
2022
|
---|---|
Authors: | Grabusts, Peter |
Published in: |
International journal of risk assessment and management : IJRAM. - Olney, Bucks : Inderscience Enterprises Ltd., ISSN 1741-5241, ZDB-ID 2048139-1. - Vol. 25.2022, 1/2, p. 21-30
|
Subject: | clustering algorithms | data analysis | decision making | K-means | neural networks | risk analysis | rule acquisition | rule base | system modelling | Neuronale Netze | Neural networks | Clusteranalyse | Cluster analysis | Regionales Cluster | Regional cluster | Theorie | Theory |
Type of publication: | Article |
---|---|
Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
Language: | English |
Other identifiers: | 10.1504/IJRAM.2022.10053794 [DOI] 10.1504/IJRAM.2022.128705 [DOI] |
Source: | ECONIS - Online Catalogue of the ZBW |
-
Dynamical clustering of streaming data with a growing neural gas network
MigdaĆ-Najman, Kamila, (2015)
-
Goudarzi, Siamak, (2017)
-
Ma, Zhipeng, (2024)
- More ...
-
Cumulative prospect theory version with fuzzy values of outcome estimates
Uzhga-Rebrov, Oleg, (2021)
-
Cumulative prospect theory version with fuzzy values of outcome estimates
Uzhga-Rebrov, Oleg, (2021)
-
Methodology for environmental risk analysis based on intuitionistic fuzzy values
Uzhga-Rebrov, Oleg, (2023)
- More ...