Clustering fuzzy expected value system

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395600, 395900, 395934, G06F 1540, G06F 944

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active

054147972

ABSTRACT:
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.

REFERENCES:
patent: 5020019 (1991-05-01), Ogawa
patent: 5140692 (1992-08-01), Morita
patent: 5168565 (1992-12-01), Morita
Sachs, W. M., "An Approach to Associative Retrieval through the Theory of Fuzzy Sets," J. American Soc. for Info. Science, 1976, 85-87.
Salton et al., Intro-to Modern Info. Retrieval, McGraw-Hill Book Co., 1983, 59-75, 421-426.
Kamel et al., "Fuzzy Query Processing Using Clustering Techniques," Info. Processing and Management, 1990, 279-293.

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