This is the Windows app named Fuzzy Ecospace Modelling whose latest release can be downloaded as FEM_Update_2019-06-26.zip. It can be run online in the free hosting provider OnWorks for workstations.
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Fuzzy Ecospace Modelling
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DESCRIPTION
Fuzzy Ecospace Modelling (FEM) is an R-based program for quantifying and comparing functional disparity, using a fuzzy set theory-based machine learning approach. 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). A value of 0 represents non-membership in the fuzzy set, and a value of 1 represents total membership in the fuzzy set. Values in between represent degrees of niche overlap.
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Science/Research
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This is an application that can also be fetched from https://sourceforge.net/projects/fuzzy-ecospace-modelling/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
