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| lfl-package | Linguistic Fuzzy Logic |
| aggregate | Implicational aggregation of rules' consequents into a fuzzy set |
| 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 |
| consequents | Extract consequent-part (RHS) of the rules in a list |
| defuzz | Convert fuzzy set into a crisp numeric value |
| 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 triangular or raised cosine shapes of the fuzzy sets |
| fcut.data.frame | Transform data into a set of fuzzy attributes using triangular or raised cosine shapes of the fuzzy sets |
| fcut.default | Transform data into a set of fuzzy attributes using triangular or raised cosine shapes of the fuzzy sets |
| fcut.matrix | Transform data into a set of fuzzy attributes using triangular or raised cosine shapes of the fuzzy sets |
| fcut.numeric | Transform data into a set of fuzzy attributes using triangular or raised cosine shapes of the fuzzy sets |
| 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 specific (or equal) than the other. |
| lcut | Transform data into a set of linguistic fuzzy attributes |
| lcut3 | Transform data into a set of linguistic fuzzy attributes |
| lcut3.data.frame | Transform data into a set of linguistic fuzzy attributes |
| lcut3.default | Transform data into a set of linguistic fuzzy attributes |
| lcut3.matrix | Transform data into a set of linguistic fuzzy attributes |
| lcut3.numeric | Transform data into a set of linguistic fuzzy attributes |
| lcut5 | Transform data into a set of linguistic fuzzy attributes |
| lcut5.data.frame | Transform data into a set of linguistic fuzzy attributes |
| lcut5.default | Transform data into a set of linguistic fuzzy attributes |
| lcut5.matrix | Transform data into a set of linguistic fuzzy attributes |
| lcut5.numeric | Transform data into a set of linguistic fuzzy attributes |
| lfl | Linguistic Fuzzy Logic |
| luknorm | Triangular norm |
| mase | Compute forecast errors |
| minnorm | Triangular norm |
| pbld | Perform a Perception-based Logical Deduction (PbLD) with given rule-base on given dataset |
| perceive | From a set of rules, remove each rule for which another rule exists that is more specific. |
| plot.fsets | Plot a 'fsets' object |
| pluknorm | Triangular norm |
| pminnorm | Triangular norm |
| pprodnorm | Triangular norm |
| 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 |
| prodnorm | Triangular norm |
| raisedcos | Compute membership degrees of values to the fuzzy set |
| rbcoverage | Compute rule base coverage of data |
| reduce | Reduce the size of rule base |
| rmse | Compute forecast errors |
| searchrules | Searching for fuzzy association rules |
| sel | Select several rows and columns from a data object |
| sel.farules | Select several rows and columns from a data object |
| sel.fsets | Select several rows and columns from a data object |
| slices | Return vector of values from given interval |
| smape | Compute forecast errors |
| specs | A class of a table with several fuzzy sets. |
| 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 |
| vars | A class of a table with several fuzzy sets. |