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FEM allows users to create fuzzy functional groups for use in ecology.
...FEM clusters n-dimensional matrices of functional traits (ecospace matrices – here called the Training Matrix) into functional groups and converts them into fuzzy functional groups using fuzzy discriminant analysis (Lin and Chen 2004 – see main text for more information). Following this, FEM classifies the functional entities from a second matrix (the Test Matrix) into the groups made using the Training Matrix, generating fuzzy membership values for each unit in the Test Matrix. These values are real numbers from 0 to 1, representing increasing degrees of “truth” regarding an organism’s membership in the fuzzy set (see main text). ...
This package consists of Perl modules that implement the semantic relatedness measures of Leacock-Chodorow (1998), Jiang-Conrath (1997), Resnik (1995), Lin (1998), Hirst-St-Onge (1998), Wu & Palmer (1994), Banerjee-Pedersen (2002), and Patwardhan (2003).