From the point of view of the Futures Map frame, the criteria of the preferred futures suggested by Amara [2] are useful when the customers of the Futures Map use the map.
Customers' characteristics are represented using linguistic variables under major and minor criteria, and then, fuzzy integration method is used to map the sub-criteria into the higher hierarchical criteria based on the trapezoidal fuzzy numbers.
We did not attempt to precisely map the laboratory criteria from case definitions to LOINC.
In a more recent paper [ 8], a new definition was introduced in which a read was considered to be correctly mapped if the mapping criteria were not violated, i.e. contained less errors than the threshold parameter set by the user.
This chapter also addresses the new area of Web mapping and discusses the question as to why maps delivered through the web are different, what constitutes effective web map design, and the criteria by which they should be evaluated.
The procedure is defined through a point-to-set mapping, where at each cycle a new set of design points, i.e., laminate stacking sequence configurations and their mapping into the criterion space are generated from one design point.
Using the mapping criteria, the clean reads were mapped back to human pre-miRNAs (miRBase 17).
The utility function maps the performance criteria into a real number used as a metric to quantify the satisfaction [23].
From this follows that there is no absolute ranking order of the Futures Maps based on the criteria.
