A document retrieval system which includes a keyword connection table making section, a document accuracy calculating section, a document sorting section and a learning control section. The document accuracy calculating section calculates a document accuracy for each of the output documents in a prescribed manner by reference to a keyword connection table file. The document sorting section sorts the output documents in downward sequential order of the document accuracy. The learning control section serves to modify the weight of each keyword connection in a prescribed manner after the sorted output documents are given responsive to a query by a user, allowing the user make an evaluation on whether each document accuracy of the output documents is in conformity with the query. The document retrieval system is capable of providing the user with multiple choices from a numerical value between 0 and 1 in terms of a real number in making an evaluation on whether each document accuracy of the output documents is actually in conformity with the query.
A system provides a tool for computing the most typical fuzzy expected value of a membership function in a fuzzy set. The clustering fuzzy expected value system is used in a question answering system. CFEV is computed by the tool is based on grouping of individual responses, that meet certain criteria, to clusters. Each cluster is considered a "super response" and contributes to the result proportionally to its relative size and the difference in opinion from the mean of the entire sample. In so doing, CFEV represents the opinion of the majority of the population, but it also respects the opinion of the minority. A comparison is made with existed tools such as the FEV and the WFEV and the advantages of CFEV are demonstrated by examples for cases where other methods fail to perform.
There is provided by the present invention a database of cases in which index-labeled case data is accumulated, an index appearance matrix generator for generating an index appearance matrix as a target according to a first index from the case data an index appearance matrix generator for generating a index appearance matrix as a reference according to a second index from the case data, a cross index matrix generator for generating a cross index matrix from these index appearance matrixes, an inter-index attribute value fuzzy relation computing section for computing a fuzzy relation between index attribute values from the cross index matrix, and a fuzzy thesaurus generating section for generating a fuzzy thesaurus from a fuzzy relation between the index attribute values.
This is a procedure for determining text relevancy and can be used to enhance the retrieval of text documents by search queries. This system helps a user intelligently and rapidly locate information found in large textual databases. A first embodiment determines the common meanings between each word in the query and each word in the document. Then an adjustment is made for words in the query that are not in the documents. Further, weights are calculated for both the semantic components in the query and the semantic components in the documents. These weights are multiplied together, and their products are subsequently added to one another to determine a real value number(similarity coefficient) for each document. Finally, the documents are sorted in sequential order according to their real value number from largest to smallest value. Another, embodiment is for routing documents to topics/headings (sometimes referred to as faltering). Here, the importance of each word in both topics and documents are calculated. Then, the real value number (similarity coefficient) for each document is determined. Then each document is routed one at a time according to their respective real value numbers to one or more topics. Finally, once the documents are located with their topics, the documents can be sorted. This system can be used to search and route all kinds of document collections, such as collections of legal documents, medical documents, news stories, and patents.
A system provides question answering based on fuzzy logic. The proposed system provides the capability to assess if a database contains information pertinent to a subject of interest by evaluating each comment in the database via a fuzzy evaluator which attributes a fuzzy membership value indicating its relationship to such subject. An assessment is provided for the database as a whole regarding its pertinence to the subject of interest, and consequently comments that are considered as irrelevant to the subject may be discarded. The system has been developed for the examination of databases and evaluated by testing against those which were created for assessing whether computer system development databases contain information pertinent to the functional changes that would occur in the development cycle. The system can be applied with minimal changes to a variety of circumstances provided that the fundamental assumptions for the development of the membership functions are respected for the application.
A data management system allows various forms of data to be centrally managed. The system includes a first storage unit for storing different types of data files, each including a keyword. A second storage unit stores the keywords associated with the different types of data files. A third storage unit stores location information of the individual keywords. When an arithmetic unit receives a keyword, it updates the keyword in the first storage unit based on the location information in the third storage unit.
