Package: frbs
Maintainer: Christoph Bergmeir <c.bergmeir@decsai.ugr.es>
License: GPL (>= 2)
Title: Fuzzy Rule-based Systems for Classification and Regression Tasks
Author: Lala Septem Riza, Christoph Bergmeir, Francisco Herrera, and
    Jose Manuel Benitez
Description: This package implements functionality and various algorithms to
    build and use fuzzy rule-based systems (FRBSs). FRBSs are based on the
    concept of fuzzy sets, proposed by Zadeh in 1965, which aims at
    representing the reasoning of human experts in a set of IF-THEN rules, to
    handle real-life problems in, e.g., control, prediction and inference, data
    mining, bioinformatics data processing, and robotics. FRBSs are also known
    as fuzzy inference systems and fuzzy models. During the modeling of an
    FRBS, there are two important steps that need to be conducted: structure
    identification and parameter estimation. Nowadays, there exists a wide
    variety of algorithms to generate fuzzy IF-THEN rules automatically from
    numerical data, covering both steps. Approaches that have been used in the
    past are, e.g., heuristic procedures, neuro-fuzzy techniques, clustering
    methods, genetic algorithms, squares methods, etc. This package aims to
    implement the most widely used standard procedures, thus offering a
    standard package for FRBS modeling to the R community.
Version: 2.2-0
URL: http://sci2s.ugr.es/dicits/software/FRBS
Date: 2014-02-03
Suggests: class, e1071
Collate: 'FRBS.MainFunction.R' 'FSpacePartition.Method.R'
        'FSpacePartition.FunctionCollection.R'
        'FSpacePartition.Predict.R' 'FNN.FunctionCollection.R'
        'FNN.Methods.R' 'FCluster.Methods.R'
        'FCluster.FunctionCollection.R' 'FCluster.Predict.R'
        'FGradDescent.Methods.R' 'FGradDescent.FunctionCollection.R'
        'GFS.Methods.R' 'GFS.FunctionCollection.R' 'GFS.Predict.R'
        'docData.R' 'frbs-package.R'
Packaged: 2014-02-03 11:00:21 UTC; bergmeir
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-02-03 12:49:34
