Übersetzung und Analyse von Wörtern durch künstliche Intelligenz ChatGPT
Auf dieser Seite erhalten Sie eine detaillierte Analyse eines Wortes oder einer Phrase mithilfe der besten heute verfügbaren Technologie der künstlichen Intelligenz:
- wie das Wort verwendet wird
- Häufigkeit der Nutzung
- es wird häufiger in mündlicher oder schriftlicher Rede verwendet
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- Anwendungsbeispiele (mehrere Phrasen mit Übersetzung)
- Etymologie
fuzzy match - Übersetzung nach Englisch
Ex: DBGuide creates summary pages of data retrieved from a database, based on exact and fuzzy matches.
Ex: This is a rather fuzzy basis for establishing subject headings, but fuzziness is not the guidelines only fault.
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* fuzzy clustering = conjuntos de lógica difusa
* fuzzy database = base de datos de lógica difusa
* fuzzy data retrieval = recuperación de información de lógica difusa
* fuzzy IR technique = técnica de recuperación por medio de la lógica difusa
* fuzzy logic = lógica difusa, lógica imprecisa, lógica borrosa
* fuzzy match = búsqueda difusa
* fuzzy matching = búsqueda difusa
* fuzzy model = modelo de lógica difusa
* fuzzy query processor = procesador de lógica difusa
* fuzzy random variable = variable aleatoria de lógica difusa
* fuzzy set = conjunto de lógica difusa
* fuzzy set theory = teoría de conjuntos difusos
* fuzzy system = sistema de lógica difusa
* fuzzy term = término impreciso
* fuzzy-valued = con valores difusos
* random fuzzy set = conjunto aleatorio de lógica difusa
* thresholded fuzzy clustering = ?
![The [[London matchgirls strike of 1888]] campaigned against the use of white phosphorus in match making, which led to bone disorders such as ''[[phossy jaw]]''.](https://commons.wikimedia.org/wiki/Special:FilePath/1888 match girl strike.jpg?width=200 "The [[London matchgirls strike of 1888]] campaigned against the use of white phosphorus in match making, which led to bone disorders such as ''[[phossy jaw]]''.")
![Packing girls at the [[Bryant & May]] factory.](https://commons.wikimedia.org/wiki/Special:FilePath/Bryant and May packing girls.jpg?width=200 "Packing girls at the [[Bryant & May]] factory.")
![John Walker]], inventor of the friction match.](https://commons.wikimedia.org/wiki/Special:FilePath/Congreve matchbox.jpg?width=200 "John Walker]], inventor of the friction match.")
 black background.jpg?width=200 "Match container, about 1875")
![Joseph Wright]], depicting [[Hennig Brand]] discovering [[phosphorus]].](https://commons.wikimedia.org/wiki/Special:FilePath/Joseph Wright of Derby The Alchemist.jpg?width=200 "Joseph Wright]], depicting [[Hennig Brand]] discovering [[phosphorus]].")
![''[[The New York Times]]'' report dated 29 January 1911](https://commons.wikimedia.org/wiki/Special:FilePath/MatchPatentNYT.png?width=200 "''[[The New York Times]]'' report dated 29 January 1911")
![''Super Deportistas'' matches from mid 20th century Mexico, part of the permanent collection of the [[Museo del Objeto del Objeto]], in [[Mexico City]].](https://commons.wikimedia.org/wiki/Special:FilePath/SuperDeportistas.JPG?width=200 "''Super Deportistas'' matches from mid 20th century Mexico, part of the permanent collection of the [[Museo del Objeto del Objeto]], in [[Mexico City]].")
![Ignition]] of a match](https://commons.wikimedia.org/wiki/Special:FilePath/Ignition of a match.jpg?width=200 "Ignition]] of a match")
Definition
Wikipedia
Fuzzy logic is a form of many-valued logic in which the truth value of variables may be any real number between 0 and 1. It is employed to handle the concept of partial truth, where the truth value may range between completely true and completely false. By contrast, in Boolean logic, the truth values of variables may only be the integer values 0 or 1.
The term fuzzy logic was introduced with the 1965 proposal of fuzzy set theory by Iranian Azerbaijani mathematician Lotfi Zadeh. Fuzzy logic had, however, been studied since the 1920s, as infinite-valued logic—notably by Łukasiewicz and Tarski.
Fuzzy logic is based on the observation that people make decisions based on imprecise and non-numerical information. Fuzzy models or fuzzy sets are mathematical means of representing vagueness and imprecise information (hence the term fuzzy). These models have the capability of recognising, representing, manipulating, interpreting, and using data and information that are vague and lack certainty.
Fuzzy logic has been applied to many fields, from control theory to artificial intelligence.
