Method of partitioning particle size distrubution datum

Measuring and testing – Particle size

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364555, G01N 1502

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active

053599063

ABSTRACT:
A method of using a technique of fuzzy inference for partioning a particle size distribution diagram indicative of a relationship between particle size and its frequency of a mixture of several kinds of granular substances, such as white blood corpuscles including lymph corpuscles, monocytes and granulocytes, to define particle size regions for the respective substances. More particularly, some estimation points are selected on the abscissa of the particle size distribution diagram and some characteristic parameters are calculated at each estimation point with the corresponding frequency. A fuzzy production rule for each characteristic parameter is applied to seek an estimated value of the estimation point and the estimated values for all characteristic parameters at each estimation point are combined to obtain a composite estimated value. The estimation point corresponding to the greatest one of all resultant composite estimated values is appointed to an objective partition point.

REFERENCES:
patent: 3449567 (1969-06-01), Olivier et al.
patent: 3515884 (1979-06-01), Imadate
patent: 3944797 (1976-03-01), Coulter et al.
patent: 4128884 (1978-12-01), England
patent: 4817446 (1989-04-01), Kanamri

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