## Fuzzy Reasoning in Information, Decision and Control SystemsS.G. Tzafestas, Anastasios N. Venetsanopoulos Great progresses have been made in the application of fuzzy set theory and fuzzy logic. Most remarkable area of application is 'fuzzy control', where fuzzy logic was first applied to plant control systems and its use is expanding to consumer products. Most of fuzzy control systems uses fuzzy inference with max-min or max-product composition, similar to the algorithm that first used by Mamdani in 1970s. Some algorithms are developed to refine fuzzy controls systems but the main part of algorithm stays the same. Triggered by the success of fuzzy control systems, other ways of applying fuzzy set theory are also investigated. They are usually referred to as 'fuzzy expert sys tems', and their purpose are to combine the idea of fuzzy theory with AI based approach toward knowledge processing. These approaches can be more generally viewed as 'fuzzy information processing', that is to bring fuzzy idea into informa tion processing systems. |

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### Contents

IV | 3 |

V | 31 |

VI | 50 |

VII | 69 |

VIII | 99 |

IX | 120 |

X | 145 |

XI | 162 |

XV | 307 |

XVI | 329 |

XVII | 344 |

XVIII | 347 |

XIX | 387 |

XX | 419 |

XXI | 420 |

XXII | 451 |

XII | 165 |

XIII | 198 |

XIV | 276 |

XXIII | 492 |

XXIV | 511 |

XXV | 552 |

### Other editions - View all

Fuzzy Reasoning in Information, Decision and Control Systems S.G. Tzafestas,Anastasios N. Venetsanopoulos No preview available - 2013 |

Fuzzy Reasoning in Information, Decision and Control Systems S. G. Tzafestas,Anastasios N. Venetsanopoulos No preview available - 2014 |

### Common terms and phrases

algorithm application of fuzzy approach approximate reasoning classical computed concept connectionist expert system considered control action control loop control variable controller output corresponding crisp deﬁned deﬁnition denotes dynamics Engineering error estimated evaluation example expert systems feature Figure ﬁnd ﬁrst FSMC fuzzy control systems fuzzy implication fuzzy logic controller fuzzy network fuzzy numbers fuzzy reasoning fuzzy relation fuzzy rules fuzzy sets fuzzy subset fuzzy systems IEEE Trans implemented International joint knowledge base knowledge representation layer linguistic variables Mamdani matrix medium membership functions membership values neural network neuron nodes non-linear non-linear controllers obtained operations parameters pattern class Petri net PID controller position problem procedure represented respectively robotic manipulators rule base sample set sampled points Sets and Systems shown simplex sliding mode control structure Sugeno T-norm Table theory torque trajectory universe of discourse vector Zadeh