Intermediate result

Previous  Top  Next

A mature counter matrix shows two intervals in each factor:
One interval is represented only by well-founded counter values. Tolerance options up to a certain tolerance option are confirmed by high counter values. In the other interval, only counter values below the treshold value are registered. The information on the proportion of each counter value in the sum of each dimension is condensed to specifying the border between those intervals.
The evaluation of a candidate example results in an intermediate result in each dimension. This is determined by the largest well-founded tolerance option in each dimension. But it is not the largest tolerance option itself. The combination of all intermediate results is an intermediate result vector. To each candidate example, there is an intermediate result vector. This intermediate result compresses the information from a counter matrix by neglecting differences between the counter values and reducing their values to the attribute of well-foundedness.
A low tolerance indicates that a dimension is important from the perspective of the current candidate example. To express high importance by high values, the tolerance values are transformed into their complementary values without loosing any information content.
The intermediate result of a factor is defined by

Intermediate result = 1 - (highest well-founded tolerance value + 0.1) = 1 - lowest not well-founded tolerance option

The intermediate result vector consists of the intermediate results. To each candidate example belongs one intermediate result vector.

A factor is represented by large counter values from 0.0 up to 0.8. This range of tolerance options is well-founded. The value of 0.9 is represented only by a very small counter value. That means this tolerance option does not represent the tolerability of non-ideal values in this dimension.

To the well-founded tolerance vector of

{ 0.2; 0.6; 0.9; 0.9; 0.7; }

belongs the intermediate vector

{ 0.7; 0.3; 0.0; 0.0; 0.2; }

As soon the counter matrix shows a mature distribution the intermediate result vector can be read from the counter matrix. The intermediate result vector is saved as current intermediate result vector. Now the processing of the current candidate example could be terminated. To verify this result it is advantageous to enter the adaption cycles again and to generate a new intermediate result vector. If both vectors are identical the intermediate result can be considered reliable. Otherwise a renewed intermediate result vector should be generated and compared with the previous result. When the results are identical or differ only slightly, the loop can be left. The environment around values that is considered as being similar enough is set in the beginning of the FACTORFINDER-Procedure. When consecutive intermediate results coincide, this procedure step is finished. The intermediate result is saved. It represents the relevance as suggested by the example base from the perspective of the current candidate example. By that, a first partial result is gained.