The Object Constraint Language (OCL) [ 50] is a formal language standardized by the OMG for the description of constraints on UML models.
This is followed by a description of constraints and weighting that allow use of AFM on global, regional, or local scales.
The description of constraints and challenges as well as the prevailing resources and potentials may moreover provide a vantage point for the exploration of enhancing fairness in priority setting processes also in other resource-constrained settings.
Qualitative interviews were selected as the data collection method as we aimed to obtain a rich, in-depth description of constraints from the viewpoint of the service providers [ 8].
Subsequently, we presented a simple requirements specification document about dataset-1 (see Fig. 2), including all requirement descriptions, budget constraint, weight values given by the clients to each requirement, and, finally, the relevance of each client to the company.
A highly useful description of the constraints is that they follow from the assumption of initially increasing and subsequently decreasing rates of change, or vice versa, of the process considered.
The origins of the differences between the two models can be traced to the distinction between mean field tube descriptions of the entanglement effect used by Auhl et al. and the pair wise discrete description of entanglement constraints used in the MLD model.
The quantitative description of biological constraints has recently advanced in several areas, such as the formulation of global laws governing the entire economy of a cell, the direct experimental measurement of the trade-offs leading to optimal gene expression, the description of naturally occurring fitness landscapes, and the appreciation of the requirements for a stable bacterial ecosystem.
A detailed description of the constraints is given in the following subsections.
All data elements and their type (e.g. Text, Boolean, Time) are visible but not their description or additional constraints.
