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Showing 1 to 2 of 2 for “"Many-valued Contexts"”.

  1. Data mining using L-fuzzy concept analysis.

    … for generating attribute implications from many-valued contexts, i.e, where the relationship between objects and attributes is given by a range of degrees from no to yes. This degree is usually taken from a suitable lattice where the smallest element corresponds to the classical no and the …

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  2. Relational Approach to the L-Fuzzy Concept Analysis

    … (database). The next step is the creation of the contexts and concepts from the given original data using some structures. In the next stage, rules, or patterns (Attribute Implications) from the data will be generated. This includes all rules and a minimal base of rules. All of them are using …

    brock Repository record for Relational Approach to the L-Fuzzy Concept Analysis (opens in a new tab)