Linguistic Fuzzy Logic

aggregateConsequents | Implicational aggregation of rules' consequents into a fuzzy... |

algebra | Algebra for Fuzzy Sets |

antecedents | Extract antecedent-part (LHS) of the rules in a list |

as.data.frame.farules | Convert the 'farules' object into a data frame |

as.matrix.fsets | Convert a 'fsets' object into matrix |

cbind.fsets | Combine several 'fsets' objects into a single one |

compose | Composition of Fuzzy Relations |

consequents | Extract consequent-part (RHS) of the rules in a list |

defuzz | Convert fuzzy set into a crisp numeric value |

errors | Compute forecast errors |

evalfrbe | Evaluate the performance of the FRBE forecast |

farules | A class of rules with statistical characteristics. |

fcut | Transform data into a set of fuzzy attributes using... |

fire | Compute truth-degrees of rules on data |

frbe | Fuzzy Rule-Based Ensemble (FRBE) of time-series forecasts |

fsets | A class of a table with several fuzzy sets. |

head.farules | Return the first part of an instance of the 'farules' class |

head.fsets | Return the first part of an instance of the 'fsets' class |

is.farules | Test whether 'x' is a valid object of the 'farules' class |

is.frbe | Test whether 'x' is a valid object of the 'frbe' class |

is.fsets | Test whether 'x' is a valid object of the 'fsets' class |

is.specific | Determine whether the first set of predicates is more... |

lcut | Transform data into a set of linguistic fuzzy attributes |

lfl-package | Linguistic Fuzzy Logic |

mult | Callback-based Multiplication of Matrices |

pbld | Perform a Perception-based Logical Deduction (PbLD) with... |

perceive | From a set of rules, remove each rule for which another rule... |

plot.fsets | Plot a 'fsets' object |

print.farules | Print an instance of the 'farules' class |

print.frbe | Print an instance of the 'frbe' class |

print.fsets | Print an instance of the 'fsets' class |

rbcoverage | Compute rule base coverage of data |

reduce | Reduce the size of rule base |

searchrules | Searching for fuzzy association rules |

sel | Select several rows and columns from a data object |

slices | Return vector of values from given interval |

tail.farules | Return the last part of an instance of the 'farules' class |

tail.fsets | Return the last part of an instance of the 'fsets' class |

triangle | Compute membership degrees of values to the fuzzy set |

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