Observation data evaluation

A computer-implemented system, comprising a computer processor coupled to a computer-readable memory unit, the memory unit comprising instructions that when executed by the computer processor implements a method comprising:

• determining a hierarchical relationship between a plurality of observation items based on a dataset including a plurality of observation samples, an observation sample in the plurality of observation samples including a group of measurements for the plurality of observation items, respectively;
• generating a tree structure based on the plurality of observation items, a leaf node in the tree structure corresponding to an observation item in the plurality of observation items, and a root node in the tree structure corresponding to an evaluation result for the plurality of observation items;
• trimming the tree structure based on the plurality of observation samples;
• generating a plurality of evaluation models for evaluating an observation sample based on the hierarchical relationship according to a predefined group of membership functions and a predefined group of fuzzy operators, wherein the hierarchal relationship comprises the tree structure and a trimmed tree structure;
• selecting an evaluation model for a further evaluation from the plurality of evaluation models based on a plurality of confidence intervals for the plurality of evaluation models;
• processing a new sample using the evaluation model selected for further evaluation, wherein the new sample is comprised of a new group of measurements for the observation items corresponding to the trimmed tree structure of the hierarchal relationship;
• and
• generating an evaluation result, wherein the evaluation result includes a classification according to one of the predefined group of membership functions.

A computer program product, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by an electronic device to cause the electronic device to perform a method, the method comprising:

• determining a hierarchical relationship between a plurality of observation items based on a dataset including a plurality of observation samples, an observation sample in the plurality of observation samples including a group of measurements for the plurality of observation items, respectively;
• generating a tree structure based on the plurality of observation items, a leaf node in the tree structure corresponding to an observation item in the plurality of observation items, and a root node in the tree structure corresponding to an evaluation result for the plurality of observation items;
• trimming the tree structure based on the plurality of observation samples;
• generating a plurality of evaluation models for evaluating an observation sample based on the hierarchical relationship according to a predefined group of membership functions and a predefined group of fuzzy operators, wherein the hierarchal relationship comprises the tree structure and a trimmed tree structure;
• selecting an evaluation model for a further evaluation from the plurality of evaluation models based on a plurality of confidence intervals for the plurality of evaluation models;
• processing a new sample using the evaluation model selected for further evaluation, wherein the new sample is comprised of a new group of measurements for the observation items corresponding to the trimmed tree structure of the hierarchal relationship;
• and
• generating an evaluation result, wherein the evaluation result includes a classification according to one of the predefined group of membership functions.