fuzzification oor Frans
fuzzification
en
The addition of fuzziness to data in fuzzy logic
Vertalings in die woordeboek Engels - Frans
fuzzification
The ranking results may vary with changes in selected indicators, fuzzification methods, applied rules and method of defuzzification.
Les résultats du classement peuvent varier en fonction des indicateurs choisis, des méthodes de fuzzification, des règles appliquées et de la méthode de défuzzification.
modification logique floue
Geskatte vertalings
Vertoon algoritmies gegenereerde vertalings
voorbeelde
Advanced filtering
Voorbeelde moet herlaai word.
An analog fuzzy logic controller (10) has a fuzzification circuit (12) that allows position and form of membership functions associated to linguistic input variables to be analogically set from the outside.
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For example, the combination of overall RMS, frequency band, and slope analysis trend data for fuzzification to develop if-then relationships for alarm conditions.
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The obtained fuzzy system is analysed by the adapted neuro-fuzzy inference system (ANFIS) for improving the fuzzification process, i.e. for improving the process of determining membership functions
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Fuzzification functions are applied to the power spectrum by a dimension reducer (26) to produce a characterizing vector that characterizes the power spectrum.
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Further, the influence of the nonuniformity of an illumination field is eliminated by utilizing the difference of the sharpened image and the sharpened image processed by fuzzification.
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The result of the process is a fuzzification of the input signals using the minimum computing time without the need for excessively large storage space of the appurtenance functions.
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The output signals (16) from the fuzzification circuit (12) that correspond to the fuzzy values are supplied to an inference circuit (18).
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The obtained fuzzy system is analysed by the adapted neuro-fuzzy inference system (ANFIS) for improving the fuzzification process, i.e. for improving the process of determining membership functions.
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The basic elements of the fuzzy system methodology described in the paper are: fuzzification, knowledge representation using fuzzy rules, inference machine, and defuzzification.
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The result of the process is a fuzzification of the input signals using the minimum computing time without the need for excessively large storage space for the apurtenance functions.
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Finally, combining the different alarming aspects with a rule-based decision making approach such as fuzzy logic allows alarming based on qualitative analysis of different data streams. For example, the combination of overall RMS, frequency band, and slope analysis trend data for fuzzification to develop if-then relationships for alarm conditions.
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Process for preparing for and accomplishing the fuzzification of a digital input signal at an input of a fuzzy processor
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A mixed stochastic and non-stochastic fuzzification is often a basis for the LPI-procedure.
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The ranking results may vary with changes in selected indicators, fuzzification methods, applied rules and method of defuzzification
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The ranking results may vary with changes in selected indicators, fuzzification methods, applied rules and method of defuzzification.
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Membership functions obtained in fuzzification process depends on parameters and changing the parameters will change the shape of the membership function.
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The basic elements of the fuzzy system methodology described in the paper are: fuzzification, knowledge representation using fuzzy rules, inference machine, and defuzzification
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The object of the application is an arrangement consisting of a rule decoder (RDEC), a rule evaluation unit (RE) and a unit (S) for forming selector signals (sel) to which can be sent, from a fuzzification circuit (FUZ) a minimum (ne_min (1)) and a maximum (ne_max (1)) number for applicable linguistic values of a corresponding input variable (1) and values (me (ne_min (1)) ... me (ne_max (1))) of relevance functions of linguistic values, the numbers of which lie between the minimum and maximum numbers, and, from a blasic knowledge store (KBM), numbers (ne (1, k) ... ne (1, k + 3)) for linguistic values of the corresponding input variables given in a plurality of rule (k, ..., k+3) and these input numbers and values can be processed in parallel with the processing of the next input variables (1 + 1) in the fuzzification circuit.
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Unlike many encrypted currencies derived from Bitcoin, Monero is based on CryptoNote protocol and has significant algorithm differences in block chain fuzzification.
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Fuzzification Module − It transforms the system inputs, which are crisp numbers, into fuzzy sets.
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The fuzzification technique is used to normalize all objective functions in the multi-objective SOPF.
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21 sinne gevind in 7 ms. Hulle kom uit baie bronne en word nie nagegaan nie.