Cargando…
Multiple Fuzzy Classification Systems
Fuzzy classifiers are important tools in exploratory data analysis, which is a vital set of methods used in various engineering, scientific and business applications. Fuzzy classifiers use fuzzy rules and do not require assumptions common to statistical classification. Rough set theory is useful when da...
Autor principal: | Scherer, Rafał |
---|---|
Lenguaje: | eng |
Publicado: |
Springer
2012
|
Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-3-642-30604-4 http://cds.cern.ch/record/1501850 |
Ejemplares similares
-
Fuzzy Control and Filter Design for Uncertain Fuzzy Systems
por: Assawinchaichote, Wudhichai, et al.
Publicado: (2006) -
Supplier evaluation and categorize with combine Fuzzy Dematel and Fuzzy Inference System
por: Ashtarinezhad, Elahe, et al.
Publicado: (2018) -
Design of interpretable fuzzy systems
por: Cpałka, Krzysztof
Publicado: (2017) -
Hesitant fuzzy methods for multiple criteria decision analysis
por: Zhang, Xiaolu, et al.
Publicado: (2017) -
Fuzzy-like multiple objective multistage decision making
por: Xu, Jiuping, et al.
Publicado: (2014)