To determine the best means of compromise, goal programming, weighted sum and fuzzy multi-objective techniques have been employed.
Disease control (the sum of objective response and stable disease rates) was seen in 84 (36%) panitumumab patients and 23 (10%) BSC patients.
The disease control rate (sum of objective response and SD) was 58% (18 of 31 patients) in the 20MI arm and 39% (10 of 26 patients) in the CI-1D arm.
Agreement between self-reports and objective assessments, measured as sum of sensitivity and specificity was generally low for all five qualities when compared individually.
Based on a former report [ 35], the OLAS for each patient was constructed as the sum of objective score (location, size) and subjective score (pain), ranging from 1 to 14, and reported in terms of means.
Prognostic implication of serum cytokeratin 19 fragments (CYFRA 21-1) was explored in 60 advanced NSCLC patients, whereas in 45 patients assessable for serological response a ⩾35% CYFRA 21-1 decline after two chemotherapy cycles was strongly associated with non-progression (NP), defined as a sum of objective response (OR)+stable disease (P<0.0001) and survival (P=0.0002).
With some straightforward manipulations of (17) and using the fact that, the average sum MSE (objective function of (20)) can be alternatively expressed as follows: (29).
In contrast to power-fair greening, this approach targets "perfect rate fairness" by having a power sum as the objective and by proportionally reducing the minimum target data rates of the users, as follows, Greening 2 : maximize s ∈ S - ∑ n ∈ N t n P n subject to P n ≤ P n, tot, n ∈ N, R n ≥ β R n, o, n ∈ N, (19).
A combined approach for considering the three objectives including weighted sum and lexicographic methods is used.
In this fair greening approach, we target "perfect power fairness" by having a weighted rate sum as the objective and proportionally reducing the available transmit power per user.
Maximization of the weighted sum of objective deviations results in an 'average' strategy that performs much better in attaining carbon objectives, but diversity is sacrificed.
