Fuzzy hypothesis testing with hybrid data
β Scribed by Jean J. Saade; Harry Schwarzlander
- Publisher
- Elsevier Science
- Year
- 1990
- Tongue
- English
- Weight
- 670 KB
- Volume
- 35
- Category
- Article
- ISSN
- 0165-0114
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
A statistical foundation is given to the problem of hypothesizing and testing geometric properties of image data heuristically derived by Kanatani (CVGIP: Image Understanding 54 (1991), 333-348). Points and lines in the image are represented by " \(\mathrm{N}\)-vectors" and their reliability is eval
In this paper we present different approaches to the problem of fuzzy rules extraction by using a combination of fuzzy clustering and genetic algorithms as the main tools. This combination of techniques let us define a hybrid system by which we can have different approaches in a fuzzy modeling proce