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As m → + 1, FCM converges to an HCM solution.
Economic indicators used were labor income of the farm family (k€ per farm) or labor income per ton of FCM (€ ton− 1 FCM).
In general, the larger m is, the fuzzier are the membership assignments; and conversely, as m → + 1, FCM solutions become hard.
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Water addition had no effect on production, with similar DMI (27.9 vs. 26.5 kg/d), 4% FCM (28.7 vs. 27.6 kg/d), and efficiency of production (0.98 vs. 1.00 kg of 4% FCM/kg of DMI) between the dry and wet treatments.
The SA treatment increased 3.5% fat-corrected milk (3.5% FCM; 40.5 vs. 38.6 kg/d) but did not affect feed efficiency (3.5% FCM/DMI, 1.55 vs. 1.53), body weight, or body condition score compared with the control.
Milk fat (3.91 vs. 3.79%) and 4% FCM yield (34.9 vs. 33.4 kg/d) were greater for cows fed HCWN vs. LCW diet.
The DMI (25.4 vs. 24.2 kg/d) and 4% FCM yield (34.3 vs. 31.7 kg/d) were higher for cows fed the HCW diet compared with the LCW diet.
Fig. 10 FCM clustering result based on trapezoid prediction model.
For cycles 2 6, FCM started day 1 together with R 500 mg/m2.
Fig. 11 FCM clustering road boundary recognition result based on probability confidence map.
Based on these two issues, we present a new cluster validity index capable of being used for type-1 Fuzzy C-Means (FCMs), Interval Type-2 FCM (IT2 FCM), and Possibilistic C-Means (PCMs) clustering algorithms.
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