13. A method for evaluating a relevance of a database having text records to a predetermined subject of interest, the method comprising computer executed steps of: compiling and storing a list of unique words contained in the database having text records; extracting and storing from the list of unique words a list of relevant words selected by a user of the method; storing confidence values furnished by personnel other than the user who are familiar with the subject of interest that reflect their perceptions of a relevance of each word in the list of relevant words to the subject of interest; and calculating and storing a fuzzy expected value for each word in the list of relevant words, the fuzzy expected value for each word based on the confidence values for each word in the list of relevant words.
13. A method for evaluating a relevance of a database having text records to a predetermined subject of interest, the method comprising computer executed steps of: compiling and storing a list of unique words contained in the database having text records; extracting and storing from the list of unique words a list of relevant words selected by a user of the method; storing confidence values furnished by personnel other than the user who are familiar with the subject of interest that reflect their perceptions of a relevance of each word in the list of relevant words to the subject of interest; and calculating and storing a fuzzy expected value for each word in the list of relevant words, the fuzzy expected value for each word based on the confidence values for each word in the list of relevant words. 14. The method according to claim 13, further comprising a computer executed step of calculating a joined confidence value of each text record of the database based on fuzzy logic that incorporates the fuzzy expected value of each word in the text record.