Evaluation criteria users

PROMETHEE offer six types of preferential functions. For every of evaluated criterions user will choose any ty pe o f pre ferential function and parameters of this function. These parameters are threshold of indifference q, threshold of absolute preferential p and the mean-root-square-error from normal sorting a. When we get a presumption that for every couple variants was quantifying, on basic of chosen preferential function, preferential intensity, than we can calculate global preferential indexes (Formula 22) ... 

PROMETHEE methods offer six types of preferential functions. For every of evaluated criterions user will choose any type of preferential function and parameters of this function. Basic parameters are ... 

All predictions must be taken for what they are, namely, generalizations based on current knowledge and understanding. There is a temptation for a user to assume that a computer-generated answer must be correct. To determine whether this is in fact the case, a number of factors concerning the model must be addressed. The statistical evaluation of a model was addressed above. Another very important criterion is to ensure that a prediction is an interpolation within the model space, and not an extrapolation outside of it. To determine this, the concept of the applicability domain of a model has been introduced [106]. 

Evaluation in the microprocessor may be carried out conventionally, in accordance with fuzzy logic algorithms or even on the basis of so called neural networks. To what extent such terms can be advertised to the end user as a type of quality criterion remains to be seen. For consumers these differences are largely of no consequence as they always receive clean, hygienic, problem-free laundry for which only the absolutely essential quantities of the required resources of water, energy and chemicals have been used. 

One major advantage of the PMod software is the graphical interface that allows the interactive configuration of the kinetic model by the user as well as the application of some preprocessing steps, e g. setting up initial values and limits for the fit parameters. Visual evaluation of each plot is performed to check the quality of each fit. Each model curve is compared with the corresponding time-activity curve and the total X2 difference was used as the cost function, where the criterion was to minimise the summed squares (X2) of the differences between the measured and the model curve. The distribution at each individual point is taken to be Gaussian, with a standard deviation to be specified. The model parameters are usually accepted when kl-k4 is less than one and the vb value exceeds zero. The unit for the rate constants kl-k4 is 1/min, while vb reflects the fraction of blood within the evaluated volume. 

The replacement of chlorofluorocarbon (CFC) propellants with the non-ozone-depleting hydrofluorocarbons (HFCs) merit mention for two reasons. First, it illustrates how environmental impact can be an important selection criterion at a time when green issues are high profile. Second, HFCs were developed and evaluated for safety and delivery capability by a consortium of pharmaceutical companies, with costs shared and evaluation programs defined by prior agreement between end-users and propellant manufacturers. Such collaboration could be employed usefully in the future to develop novel excipients for delivery or targeting. The benefits would undoubtedly accrue to all. 

The sensitivity criterion (item 9) is best evaluated with samples of interest to the user, as sample properties can greatly affect the signal. It is good practice to compare probes in terms of signal per unit of laser power and acquisition time (e.g., in electrons per milliwatt per second, or e mW sec ) for a given sample. It is usually possible to send particular samples to instrument manufacturers for examination with their probe heads and spectrometers. It is important to know the laser power and acquisition time used by the manufacturer when making such comparisons. 

In backward chaining the rules are evaluated starting from the conclusion (i.e., server is connected) and finding out the necessary condition. In first iteration the access must be granted (rule 4) to connect to the server. To grant access, the server must be online — one of the given assertions — and the user must be an administrator (rule 2). Since the online criterion is one of the given assertions, rule 3 holds the condition to be fulfilled. 

The availability and accuracy of the thermodynamic data in the code s database. This is seemingly an obvious criterion, but it is difficult to apply. Database evaluation is a specialized task that is beyond the ability or the interest of most users. This subject is discussed further later in this chapter. 

A statistical test provides a mechanism for making quantitative decisions about a set of data. Any statistical test for the evaluation of quantitative data involves a mathematical model for the theoretical distribution of the experimental measurements (reflecting the precision of the measurements), a pair of competing hypotheses and a user-selected criterion (e.g., the confidence level) for making a decision concerning the validity of any specific hypothesis. All hypothesis tests address uneertainty in the results by attempting to refute a specific claim made about the results based on the data set itself. 

Discussion of Results The range of search for the proportional gain (ST ) is chosen to be between 0 and 100. A convergence criterion of 0.001 is used and may be changed by the user if necessary. The bisection method evaluates the roots at the low end of the range 0) and finds them to have the predicted values of... 

The RRD CMPP also contains a task for the self-evaluation of the document control program. Including user compliance. While not an explicit restart criterion, this performance feedback loop gives added assurance that the drawing and document control program can be made to function as designed. 

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