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FINkNN : A Fuzzy Interval Number k-Nearest Neighbor Classifier for Prediction of Sugar Production from Populations of Samples

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Figure

Figure 1: A population of 50 measurements which corresponds to Roots Weight (RW) production variable from the HSI domain
Table 1: Production variables used for Prediction of Sugar Production.
Table 3: Annual sugar production levels (in Kg/1000 m2) for “good”,  “medium”, and “poor” years, in three agricultural districts
Figure 3: Algorithm CALFIN above computes a Fuzzy Interval Number (FIN) from a population of measurements stored incrementally in vector x
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