Fuzzy reasoning database question answering system

Claim 2

A question answering system for evaluating a database having text record entries, comprising: a computer having processors and a storage system which processes instructions and a data in original database storage means for storing an original database, said computer system having unique word processing means for generating unique words, unique word storage means for storing a list of unique words, a replace table generator for generating a replace table, replace table storage means for storing the replace table, a word processor, modified database storage means for storing a modified database, and delete table storage means for storing a delete table, a unique word generator for generating relevant words, relevant word table storage means for storing a relevant word table, a fuzzy expected value (FEV) processor, combined storage means for storing a relevant word table with a confidence vector, a fuzzy evaluator and a confidence vector analyzer, query means for a user entry of a requested subject of interest, said query means initiating system operation to retrieve data records for evaluation by said system, said fuzzy evaluator then automatically evaluating the retrieved data records to determine whether it pertains to the requested subject of interest and passing a judgment to the system user in the form of a confidence value that represents the possibility that the retrieved data records do indeed deal with the requested subject of interest, wherein the data records have text comments written in a spoken language and wherein said fuzzy evaluator includes a result analyzer for finding the comments of said database that have confidence values greater than a value set by a user of the system.

Claim 3

A question answering system for evaluating a database having text record entries, comprising: a computer having processors and a storage system which processes instructions and a data in original database storage means for storing an original database, said computer system having unique word processing means for generating unique words, unique word storage means for storing a list of unique words, a replace table generator for generating a replace table, replace table storage means for storing the replace table, a word processor, modified database storage means for storing a modified database, and delete table storage means for storing a delete table, a unique word generator for generating relevant words, relevant word table storage means for storing a relevant word table, a fuzzy expected value (FEV) processor, combined storage means for storing a relevant word table with a confidence vector, a fuzzy evaluator and a confidence vector analyzer, query means for a user entry of a requested subject of interest, said query means initiating system operation to retrieve data records for evaluation by said system, said fuzzy evaluator then automatically evaluating the retrieved data records to determine whether it pertains to the requested subject of interest and passing a judgment to the system user in the form of a confidence value that represents the possibility that the retrieved data records do indeed deal with the requested subject of interest, wherein said fuzzy expected value (FEV) processor includes means for summarizing the results of interviews with experts as one input and an input from said relevant word table storage means and said processor is controlled for assigning a fuzzy expected value to all words in a relevant word table, and wherein the system includes means for assigning a membership value to each word in the relevant word table by taking the average of all interview responses for each word.

Claim 4

A question answering system for evaluating a database having text record entries, comprising: a computer having processors and a storage system which processes instructions and a data in original database storage means for storing an original database, said computer system having unique word processing means for generating unique words, unique word storage means for storing a list of unique words, a replace table generator for generating a replace table, replace table storage means for storing the replace table, a word processor, modified database storage means for storing a modified database, and delete table storage means for storing a delete table, a unique word generator for generating relevant words, relevant word table storage means for storing a relevant word table, a fuzzy expected value (FEV) processor, combined storage means for storing a relevant word table with a confidence vector, a fuzzy evaluator and a confidence vector analyzer, query means for a user entry of a requested subject of interest, said query means initiating system operation to retrieve data records for evaluation by said system, said fuzzy evaluator then automatically evaluating the retrieved data records to determine whether it pertains to the requested subject of interest and passing a judgment to the system user in the form of a confidence value that represents the possibility that the retrieved data records do indeed deal with the requested subject of interest, wherein said fuzzy expected value (FEV) processor includes means for summarizing the results of interviews with experts as one input and an input from said relevant word table storage means and said processor is controlled for assigning a fuzzy expected value to all words in a relevant word table, and wherein the system includes means for assigning a membership value to each word in the relevant word table by taking the average of all interview responses for each word.

Claim 5

A question answering system for evaluating a database having text record entries, comprising: a computer having processors and a storage system which processes instructions and a data in original database storage means for storing an original database, said computer system having unique word processing means for generating unique words, unique word storage means for storing a list of unique words, a replace table generator for generating a replace table, replace table storage means for storing the replace table, a word processor, modified database storage means for storing a modified database, and delete table storage means for storing a delete table, a unique word generator for generating relevant words, relevant word table storage means for storing a relevant word table, a fuzzy expected value (FEV) processor, combined storage means for storing a relevant word table with a confidence vector, a fuzzy evaluator and a confidence vector analyzer, query means for a user entry of a requested subject of interest, said query means initiating system operation to retrieve data records for evaluation by said system, said fuzzy evaluator then automatically evaluating the retrieved data records to determine whether it pertains to the requested subject of interest and passing a judgment to the system user in the form of a confidence value that represents the possibility that the retrieved data records do indeed deal with the requested subject of interest, wherein said fuzzy expected value (FEV) processor includes means for summarizing the results of interviews with experts as one input and an input from said relevant word table storage means and said processor is controlled for assigning a fuzzy expected value to all words in a relevant word table, wherein the one input resulting from interviews with experts provides confidence values produced by the interviews and this input and the records of the modified database are inputs to said fuzzy expected value processor, and wherein the system includes means for assigning a confidence value to a data record, and if a record of the modified database contains two words, then the system assigns the result of the function: ##EQU17## to the confidence of that record, and wherein in said function w i and w j are the confidence of two words, and wherein "k" is a number greater than zero (0<k<7) and "1" is a number between 0 and 1 (1=0.5).

Claim 6

A question answering system for evaluating a database having text record entries, comprising: a computer having processors and a storage system which processes instructions and a data in original database storage means for storing an original database, said computer system having unique word processing means for generating unique words, unique word storage means for storing a list of unique words, a replace table generator for generating a replace table, replace table storage means for storing the replace table, a word processor, modified database storage means for storing a modified database, and delete table storage means for storing a delete table, a unique word generator for generating relevant words, relevant word table storage means for storing a relevant word table, a fuzzy expected value (FEV) processor, combined storage means for storing a relevant word table with a confidence vector, a fuzzy evaluator and a confidence vector analyzer, query means for a user entry of a requested subject of interest, said query means initiating system operation to retrieve data records for evaluation by said system, said fuzzy evaluator then automatically evaluating the retrieved data records to determine whether it pertains to the requested subject of interest and passing a judgment to the system user in the form of a confidence value that represents the possibility that the retrieved data records do indeed deal with the requested subject of interest, wherein said fuzzy expected value (FEV) processor includes means for summarizing the results of interviews with experts as one input and an input from said relevant word table storage means and said processor is controlled for assigning a fuzzy expected value to all words in a relevant word table, wherein the one input resulting from interviews with experts provides confidence values produced by the interviews and this input and the records of the modified database are inputs to said fuzzy expected value processor, and wherein the system includes means for assigning a confidence value to a data record, and if a record of the modified database contains two words, then the system assigns the result of the function: ##EQU17## to the confidence of that record, and wherein in said function w i and w j are the confidence of two words, and wherein "k" is a number greater than zero (0<k<7) and "1" is a number between 0 and 1 (1=0.5).

Claim 7

A computer system for processing a database having language text records to evaluate their relevance to a predetermined subject of interest, the system comprising: processors for processing instructions and the text records; database storage means for storing an original text database; a unique word generator for generating and storing a list of unique words contained in a text database; a relevant word generator for generating and storing a list of relevant words including a system user's selections from a list of unique words of the original text database generated and stored by the unique word generator; a modified database generator for generating and storing a modified database, the modified database including the list of relevant words and synonyms, if any, associated with each word in the list of relevant words, whereinafter the unique word generator generates a list of unique words of the modified database; a relevant word table including the list of unique words of the modified database; means for calculating and storing confidence values associated with each word in the relevant word table, the confidence values based on input values from personnel other than the system user that reflects their perceptions of a relevance of each word in the relevant word table to the subject of interest; and a fuzzy expected value (FEV) processor for determining and storing a fuzzy expected value for each word in the relevant word table, the fuzzy expected value based on the confidence values associated with each word in the relevant word table.

Claim 8

A computer system for processing a database having language text records to evaluate their relevance to a predetermined subject of interest, the system comprising: processors for processing instructions and the text records; database storage means for storing an original text database; a unique word generator for generating and storing a list of unique words contained in a text database; a relevant word generator for generating and storing a list of relevant words including a system user's selections from a list of unique words of the original text database generated and stored by the unique word generator; a modified database generator for generating and storing a modified database, the modified database including the list of relevant words and synonyms, if any, associated with each word in the list of relevant words, whereinafter the unique word generator generates a list of unique words of the modified database; a relevant word table including the list of unique words of the modified database; means for calculating and storing confidence values associated with each word in the relevant word table, the confidence values based on input values from personnel other than the system user that reflects their perceptions of a relevance of each word in the relevant word table to the subject of interest; and a fuzzy expected value (FEV) processor for determining and storing a fuzzy expected value for each word in the relevant word table, the fuzzy expected value based on the confidence values associated with each word in the relevant word table.

Claim 9

The system according to claim 4, further comprising: a fuzzy evaluator for calculating and storing a joined confidence value of each record in the original text database, the joined confidence value of each record based on the fuzzy expected value for each word in that record.

Claim 10

The system according to claim 5, wherein the fuzzy evaluator calculates the joined confidence value of a record containing zero words to be equal to zero.

Claim 11

The system according to claim 5, wherein the fuzzy evaluator calculates the joined confidence value of a record containing one word to be equal to the fuzzy expected value of the one word.

Claim 12

The system according to claim 5, wherein the fuzzy evaluator calculates the joined confidence value of a record containing two words according to the formula ##EQU18## where w i and w j are fuzzy expected values of the two words; k is a constant greater than zero; 1 is a value greater than zero and less than one; and c is equal to (1-m)/m where m is an average value of the two words.

Claim 15

The system according to claim 5, wherein the system further comprises means for retrieving a record having a joined confidence value greater than a predetermined value.

Claim 16

A computer system for processing a database having language text records to evaluate their relevance to a predetermined subject of interest, the system comprising: processors for processing instructions and the text records; database storage means for storing an original text adatbase; a unique word generator for generating and storing a list of unique words contained in a text database; a relevant word generator for generating and storing a list of relevant words including a system user's selections from a list of unique words of the original text database generated and stored by the unique word generator; a modified database generator for generating and storing a modified database, the modified database including the list of relevant words and synonyms, if any, associated with each word in the list of relevant words, whereinafter the unique word generator generates a list of unique words of the modified database; a relevant word table including the list of unique words of the modified database; means for calculating and storing confidence values associated with each word in the relevant word table, the confidence values based on input values from personnel other than the system user that reflects their perceptions of a relevance of each word in the relevant word table to the subject of interest; and wherein the unique word generator generates and stores a list of all unique words contained in the text database.

Claim 17

A computer system for processing a database having language text records to evaluate their relevance to a predetermined subject of interest, the system comprising: processors for processing instructions and the text records; database storage means for storing an original text adatbase; a unique word generator for generating and storing a list of unique words contained in a text database; a relevant word generator for generating and storing a list of relevant words including a system user's selections from a list of unique words of the original text database generated and stored by the unique word generator; a modified database generator for generating and storing a modified database, the modified database including the list of relevant words and synonyms, if any, associated with each word in the list of relevant words, whereinafter the unique word generator generates a list of unique words of the modified database; a relevant word table including the list of unique words of the modified database; means for calculating and storing confidence values associated with each word in the relevant word table, the confidence values based on input values from personnel other than the system user that reflects their perceptions of a relevance of each word in the relevant word table to the subject of interest; and wherein the unique word generator generates and stores a list of all unique words contained in the text database.

Claim 18

A computer system for processing a database having language text records to evaluate their relevance to a predetermined subject of interest, the system comprising: processors for processing instructions and the text records; database storage means for storing an original text database; a unique word generator for generating and storing a list of unique words contained in a text database; a relevant word generator for generating and storing a list of relevant words including a system user's selections from a list of unique words of the original text database generated and stored by the unique word generator; a modified database generator for generating and storing a modified database, the modified database including the list of relevant words and synonyms, if any, associated with each word in the list of relevant words, whereinafter the unique word generator generates a list of unique words of the modified database; a relevant word table including the list of unique words of the modified database; means for calculating and storing confidence values associated with each word in the relevant word table, the confidence values based on input values from personnel other than the system user that reflects their perceptions of a relevance of each word in the relevant word table to the subject of interest; and wherein the unique word generator includes means for calculating and storing a frequency of each unique word contained in the text database.

Claim 19

A computer system for processing a database having language text records to evaluate their relevance to a predetermined subject of interest, the system comprising: processors for processing instructions and the text records; database storage means for storing an original text database; a unique word generator for generating and storing a list of unique words contained in a text database; a relevant word generator for generating and storing a list of relevant words including a system user's selections from a list of unique words of the original text database generated and stored by the unique word generator; a modified database generator for generating and storing a modified database, the modified database including the list of relevant words and synonyms, if any, associated with each word in the list of relevant words, whereinafter the unique word generator generates a list of unique words of the modified database; a relevant word table including the list of unique words of the modified database; means for calculating and storing confidence values associated with each word in the relevant word table, the confidence values based on input values from personnel other than the system user that reflects their perceptions of a relevance of each word in the relevant word table to the subject of interest; and wherein the unique word generator includes means for calculating and storing a frequency of each unique word contained in the text database.

Claim 22

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.

Claim 23

The method according to claim 14, further comprising a computer executed step of retrieving a text record of the database having a joined confidence value within a predetermined range.

Claim 24

The method according to claim 14, wherein the step of calculating a joined confidence value of each text record includes the steps of: determining a paired confidence value for all pairs of adjacent words in a text record containing more than two words according to the formula n-1 Φμ.sub.A [(w.sub.i w.sub.i+1)] i=1 and assigning a highest paired confidence value of all the pairs of adjacent words in the record as the joined confidence value of the record if the highest paired confidence value exceeds a predetermined upper threshold.

Claim 25

The method according to claim 16, wherein the step of assigning a highest paired confidence value includes the step of assigning a lowest paired confidence value of all the pairs of adjacent words in the record as the joined confidence value of the record if none of the paired confidence values exceed the upper threshold and the lowest paired confidence value is lower than a predetermined lower threshold.

Claim 26

The method according to claim 17, wherein the step of assigning a lowest paired confidence value includes the step of assigning the average of the fuzzy expected values of all the words in the text record as the joined confidence value of the text record if none of the paired confidence values is lower than the lower threshold nor higher than the upper threshold.

Claim 27

The method according to claim 14, wherein the step of calculating a joined confidence value of each text record is based on the formula ##EQU19## for records containing two words, where w i and w j are fuzzy expected values of the two words; k is a constant greater than zero; 1 is a value greater than zero and less than one; and c is equal to (1-m)/m where m is an average fuzzy expected value of the two words.

Claim 28

A computer system for a user to process a database having text data records to evaluate their relevance to a predetermined subject of interest, the system comprising: means for selecting a list of relevant words from the text data records; means for personnel to store and assign confidence values to each word in the list of relevant words that represent their opinion of a relevance of the word to the subject of interest; means for retrieving text data records containing words assigned confidence values satisfying a predetermined formula; and means for determining and storing a fuzzy expected value for each word in the list of relevant words, the fuzzy expected value based on the confidence values assigned to each word in the list of relevant words.

Claim 29

A computer system for a user to process a database having text data records to evaluate their relevance to a predetermined subject of interest, the system comprising: means for selecting a list of relevant words from the text data records; means for personnel to store and assign confidence values to each word in the list of relevant words that represent their opinion of a relevance of the word to the subject of interest; means for retrieving text data records containing words assigned confidence values satisfying a predetermined formula; and means for determining and storing a fuzzy expected value for each word in the list of relevant words, the fuzzy expected value based on the confidence values assigned to each word in the list of relevant words.