May 2024
Intermediate to advanced
609 pages
24h 17m
English
book
Introduction to Soft Computing: Neuro-Fuzzy and Genetic Algorithms
by Samir Roy, Udit Chakraborty
Content preview from Introduction to Soft Computing: Neuro-Fuzzy and Genetic Algorithms
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is generally a single number because like the inputs, the outputs too are usually variables signifying
physical parameters, e.g., voltage, pressure etc., under control. Since the aggregate of a number of fuzzy
sets is itself a fuzzy set and encompass a range of output values, it is not suitable to drive a physical
system. It has to be defuzzi ed in order to resolve into a single output value for the related output vari-
able. ere are several defuzzi cation methods in vogue, viz., centroid method, centre-of-sums (CoS)
method, mean-of-maxima (MoM) method etc. ese are brie y explained in Fig. 2.6.
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