(32) Fig. 14 Output membership function of eligible value.
The linguistic variables of the eligible value are belong to the fuzzy sets as {very high, high, medium, low, very low}.
It is provable that this translation won't introduce any inconsistency into mathematics (since there are values for s), or any indeterminacy (since the embedded sentence …s…s… has the same truth value for any eligible value for s).
In the cooperative phase, if several vehicles are in the communication range of S, it will transfer the file pieces to the vehicle with the highest eligible value calculated by fuzzy logic system.
Step 3: after finishing the file piece transfer to the present cooperative vehicle, S calculates the EV (eligible value) of each cooperative vehicle that is within it's communication range through fuzzy logic system, and then transfers file pieces to the vehicle with the highest EV value.
Once the fuzzy values of related velocity factor, distance factor, and predicted connection time factor have been calculated and converted to linguistic variables, S uses the IF-THEN rules, as defined in Table 2, to calculate the eligible value of each cooperative vehicle.
where μ2 x) represents the output membership function, which is also triangular, as defined in formula (32) and formula (33), and is depicted in Fig. 14, x denotes the output variable, EV denotes the dufuzzified output, i.e., the numerical eligible value.
We calculated a weight wi,j for the ith species in the jth year as
The primary exposure variable, mean glycemia between admission and neutropenia, was calculated for each patient by averaging all eligible glucose values measured between admission and 8 a.m. on the date of neutropenia.
