{
  "_id": "6a156213acfb0bcc41d6112a",
  "Package": "frbs",
  "Maintainer": "Christoph Bergmeir <c.bergmeir@decsai.ugr.es>",
  "License": "GPL (>= 2) | file LICENSE",
  "Title": "Fuzzy Rule-Based Systems for Classification and Regression Tasks",
  "Author": "Lala Septem Riza, Christoph Bergmeir, Francisco Herrera, and\nJose Manuel Benitez",
  "Description": "An implementation of various learning algorithms based on\nfuzzy rule-based systems (FRBSs) for dealing with\nclassification and regression tasks. Moreover, it allows to\nconstruct an FRBS model defined by human experts. FRBSs are\nbased on the concept of fuzzy sets, proposed by Zadeh in 1965,\nwhich aims at representing the reasoning of human experts in a\nset of IF-THEN rules, to handle real-life problems in, e.g.,\ncontrol, prediction and inference, data mining, bioinformatics\ndata processing, and robotics. FRBSs are also known as fuzzy\ninference systems and fuzzy models. During the modeling of an\nFRBS, there are two important steps that need to be conducted:\nstructure identification and parameter estimation. Nowadays,\nthere exists a wide variety of algorithms to generate fuzzy\nIF-THEN rules automatically from numerical data, covering both\nsteps. Approaches that have been used in the past are, e.g.,\nheuristic procedures, neuro-fuzzy techniques, clustering\nmethods, genetic algorithms, squares methods, etc. Furthermore,\nin this version we provide a universal framework named\n'frbsPMML', which is adopted from the Predictive Model Markup\nLanguage (PMML), for representing FRBS models. PMML is an\nXML-based language to provide a standard for describing models\nproduced by data mining and machine learning algorithms.\nTherefore, we are allowed to export and import an FRBS model\nto/from 'frbsPMML'. Finally, this package aims to implement the\nmost widely used standard procedures, thus offering a standard\npackage for FRBS modeling to the R community.",
  "Version": "3.2-0",
  "URL": "http://sci2s.ugr.es/dicits/software/FRBS",
  "Date": "2019-12-15",
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    "User": "root"
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  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2019-12-15 05:10:02 UTC",
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    "message": "version 3.2-0\n",
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    "name": "cran",
    "description": "Unofficial read-only mirror of all CRAN R packages"
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
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    "manual.pdf"
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  "_releases": [
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      "date": "2012-10-29"
    },
    {
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      "date": "2013-02-27"
    },
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    "defuzzifier",
    "denorm.data",
    "ECM",
    "frbs.gen",
    "frbs.learn",
    "frbsPMML",
    "fuzzifier",
    "inference",
    "norm.data",
    "plotMF",
    "read.frbsPMML",
    "rulebase",
    "write.frbsPMML"
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      "page": "frbs-package",
      "title": "Getting started with the frbs package",
      "topics": [
        "frbs-package",
        "frbs"
      ]
    },
    {
      "page": "ANFIS",
      "title": "ANFIS model building",
      "topics": [
        "ANFIS"
      ]
    },
    {
      "page": "ANFIS.update",
      "title": "ANFIS updating function",
      "topics": [
        "ANFIS.update"
      ]
    },
    {
      "page": "data.gen3d",
      "title": "A data generator",
      "topics": [
        "data.gen3d"
      ]
    },
    {
      "page": "defuzzifier",
      "title": "Defuzzifier to transform from linguistic terms to crisp values",
      "topics": [
        "defuzzifier"
      ]
    },
    {
      "page": "DENFIS",
      "title": "DENFIS model building",
      "topics": [
        "DENFIS"
      ]
    },
    {
      "page": "DENFIS.eng",
      "title": "DENFIS prediction function",
      "topics": [
        "DENFIS.eng"
      ]
    },
    {
      "page": "denorm.data",
      "title": "The data de-normalization",
      "topics": [
        "denorm.data"
      ]
    },
    {
      "page": "DM.update",
      "title": "FIR.DM updating function",
      "topics": [
        "DM.update"
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    },
    {
      "page": "ECM",
      "title": "Evolving Clustering Method",
      "topics": [
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      ]
    },
    {
      "page": "FH.GBML",
      "title": "FH.GBML model building",
      "topics": [
        "FH.GBML"
      ]
    },
    {
      "page": "FIR.DM",
      "title": "FIR.DM model building",
      "topics": [
        "FIR.DM"
      ]
    },
    {
      "page": "FRBCS.CHI",
      "title": "FRBCS.CHI model building",
      "topics": [
        "FRBCS.CHI"
      ]
    },
    {
      "page": "FRBCS.eng",
      "title": "FRBCS: prediction phase",
      "topics": [
        "FRBCS.eng"
      ]
    },
    {
      "page": "FRBCS.W",
      "title": "FRBCS.W model building",
      "topics": [
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      ]
    },
    {
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      "title": "The prediction phase",
      "topics": [
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      ]
    },
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      "title": "The frbs model generator",
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      "title": "The frbs model building function",
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    {
      "page": "frbsData",
      "title": "Data set of the package",
      "topics": [
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      ]
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      "title": "The object factory for frbs objects",
      "topics": [
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        "frbsObjectFactory"
      ]
    },
    {
      "page": "frbsPMML",
      "title": "The frbsPMML generator",
      "topics": [
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      ]
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      "title": "FS.HGD model building",
      "topics": [
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      ]
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      "title": "GFS.FR.MOGUL model building",
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      "title": "GFS.FR.MOGUL: The prediction phase",
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      "title": "GFS.GCCL model building",
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      "page": "GFS.LT.RS",
      "title": "GFS.LT.RS model building",
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      "title": "GFS.Thrift model building",
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      "title": "GFS.Thrift: The prediction phase",
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      "page": "HGD.update",
      "title": "FS.HGD updating function",
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      "page": "HyFIS",
      "title": "HyFIS model building",
      "topics": [
        "HyFIS"
      ]
    },
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      "title": "HyFIS updating function",
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    },
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      "title": "The process of fuzzy reasoning",
      "topics": [
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      "title": "SLAVE model building",
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