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Showing 1 to 2 of 2 for “"Fuzzy attributes"”.

  1. Fuzzy Membership Function Initial Values: Comparing Initialization Methods That Expedite Convergence

    Fuzzy attributes are used to quantify imprecise data that model real world objects. To effectively use fuzzy attributes, a fuzzy membership function must be defined to provide the boundaries for the fuzzy data. The initialization of these membership function values should allow the data to converge …

    vcu Repository record for Fuzzy Membership Function Initial Values: Comparing Initialization Methods That Expedite Convergence (opens in a new tab)

  2. Contributions to fuzzy object comparison and applications. Similarity measures for fuzzy and heterogeneous data and their applications.

    … comparison where the objects are described by attributes of fuzzy or heterogeneous (numeric and symbolic) data types. Many real world database systems and applications require information management components that provide support for managing such imperfect and heterogeneous data objects. For …

    bradford Repository record for Contributions to fuzzy object comparison and applications. Similarity measures for fuzzy and heterogeneous data and their applications. (opens in a new tab)