Step 1 Variables affecting the system under consideration are listed, which can be objectives, actions, individuals, etc. Step 2 From the variables identified in step 1, a contextual relationship is established among variables with respect to which pairs of variables would be examined.
Ravi and Shankar (2005) described the various steps involved in the ISM methodology as follows: Step 1: Variables affecting the system under consideration are listed, which can be objectives, actions, and individuals, etc. Step 2: From the variables identified in step 1, a contextual relationship is established among variables with respect to which pairs of variables would be examined.
Ravi and Shankar (2005) described the various steps involved in the ISM methodology as follows: Step 1 Variables affecting the system under consideration are listed, which can be objectives, actions, individuals, etc. Step 2 From the variables identified in step 1, a contextual relationship is established among variables with respect to which pairs of variables would be examined.
The E-criterion which can be used as objective function in optimal experiment design requires the maximization of the smallest eigenvalue of the Fisher information matrix.
In this regard it is interesting that endocrine diagnoses, which can be considered as objective diagnoses (assessed by laboratory results and therefore less dependant of interpretation by PCPs), not depending on psychosomatic factors, had an inverse association with the patient group in our study, also after adjustment for age.
Within each screening program, there is also a range of other possible objectives – which can be thought of as additional objectives – that aim to increase the benefits of screening, or their distribution, in relation to the harms.
In the following published documents the economic point of view in transport policy making became again the dominating objective, which can be clearly seen when looking at the objectives of the BVWP (year 1998), the objectives of the GSD-Study (year 1999) and the GVP-Ö (year 2002), where the main objectives were the "Strengthening of Austria as a business location".
We present sufficient conditions, which can be combined with other objectives in the multi-objective approach, for design of strictly positive real compensators.
It is a formal expression which can be transformed into different objective functions for different applications.
In particular, we detail a low-complexity scheduling algorithm, which can be employed with different objective functions, exemplified here by two approaches: (1) maximizing the sum rate of the network; and (2) maximizing the number of users served, given a statistical constraint on the received rate per user.
