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| FKBL-package | fuzzy Knowledge Base Learning |
| c1 | Default vector of classes1 |
| c2 | Default vector of classes2 |
| cancer | Wisconsin Breast Cancer Database (January 8, 1991) |
| checkXML | checks a XML from disc |
| CKB | Creates a Knowledge Base |
| CKnowledgeBase | Creates a Knowledge Base |
| CP | Creates a fuzzy partition |
| CP2 | Creates a fuzzy partition |
| CPart | Creates a fuzzy partition |
| CPart2 | Creates a fuzzy partition |
| CR | Creates a rule |
| CRule | Creates a rule |
| EXPERIMENT | Makes an EXPERIMENT |
| EXPERIMENTmO | Makes an EXPERIMENT with the Multiobjective algorithms |
| expGetCl | Creates the class vector |
| expGetE | Creates the ERROR vector |
| expGetKb | Makes kBs from a train set |
| gC | Returns the classes of a given data |
| gE | Checks the errors between two vectors |
| getClasses | Returns the classes of a given data |
| getErrors | Checks the errors between two vectors |
| getExecute | Gets a prototype execute list |
| getPart | Partition O matic |
| getTest | Gets the train data from a problem |
| getTrain | Gets the train data from a problem |
| gEx | Gets a prototype execute list |
| glass | Glass Identification Database |
| gP | Partition O matic |
| gTe | Gets the train data from a problem |
| gTr | Gets the train data from a problem |
| I | Gets the vector of classes |
| I1W | Gets the vector of classes |
| Inference | Gets the vector of classes |
| Inference1Winner | Gets the vector of classes |
| IRIS | Iris Plant Database |
| iris.test | Test problem for IRIS |
| iris.train | Train problem for IRIS |
| kB | Default Knowledge Base |
| Kb2XML | Writes a kB to disc |
| LkbConfidenceSupport | Creates a Knowledge Base |
| LkbConfidenceSupportL | Creates a knowledge base |
| LkbConfidenceSupportP | Creates a set of parameters for LkbConfidenceSupportL |
| LkbCS | Creates a Knowledge Base |
| LkbCSl | Creates a knowledge base |
| LkbCSp | Creates a set of parameters for LkbConfidenceSupportL |
| LkbGBMLHybrid | Creates a knowledge base |
| LkbGBMLMichigan | Creates a knowledge base |
| LkbGBMLPittsBurgh | Creates a knowledge base |
| LkbGHy | Creates a knowledge base |
| LkbGMi | Creates a knowledge base |
| LkbGPtt | Creates a knowledge base |
| mt | Default Meta Information |
| P | Default vector of partitions |
| pima | Pima Indians Diabetes Database |
| Pl | Vector of partitions for testing IRIS |
| R | Default vector of rules |
| TkbAn | Analytic algorithm. Tweaks a kB |
| TkbAnalytic | Analytic algorithm. Tweaks a kB |
| TkbAnalyticL | Tweaks a kB |
| TkbAnalyticP | Creates a set of parameters for TkbAnalyticL |
| TkbAnl | Tweaks a kB |
| TkbAnp | Creates a set of parameters for TkbAnalyticL |
| TkbGBMLErrorSize | Creates a knowledge base |
| TkbGBMLMoErrorSize | Creates a knowledge base |
| TkbGBMLMoga | Creates a knowledge base |
| TkbGES | Creates a knowledge base |
| TkbGM | Creates a knowledge base |
| TkbGMES | Creates a knowledge base |
| TkbRewardPunishment | Reward and Punishment. Tweaks a kB |
| TkbRewardPunishmentL | Reward and Punishment. Tweaks a kB |
| TkbRewardPunishmentP | Creates a set of parameters for TkbRewardPunishmentL |
| TkbRP | Reward and Punishment. Tweaks a kB |
| TkbRPl | Reward and Punishment. Tweaks a kB |
| TkbRPp | Creates a set of parameters for TkbRewardPunishmentL |
| trainA | Problem A |
| trainB | Problem B |
| trainC | Problem C |
| trainD | Problem D |
| trainM | Problem Minimum |
| TrainSafe | Makes a train set safer |
| Ts | Makes a train set safer |
| wine | Wine Recognition Database |
| XML2kb | Reads a knowledge base from a XML |