Pattern classification problems and fuzzy sets
β Scribed by Marc Roubens
- Publisher
- Elsevier Science
- Year
- 1978
- Tongue
- English
- Weight
- 724 KB
- Volume
- 1
- Category
- Article
- ISSN
- 0165-0114
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In the classical neuron model, inputs are continuous real-valued quantities. However, in many important domains from the real world, objects are described by a mixture of continuous and discrete variables, usually containing missing information and uncertainty. In this paper, a general class of neur
An appropriate algebraic structure was previously defined which can be regarded as a possible alternative to the theory of approximate reasoning, [A. Gisolfi, Fuzzy Sets Syst. 44, 37-43 (1992)l. In this article we aim at extending the operations of the structure in order to cope with classification