## Approximate reasoning in intelligent systems, decision and control |

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### Contents

Fuzzy Hardware Systems of Tomorrow | 1 |

Functional Requirements for a Fuzzy Expert System Shell | 21 |

An Uncertainty Calculus for Expert Systems | 33 |

Copyright | |

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### Common terms and phrases

alarm systems algorithm analysis application approximate reasoning Artificial Intelligence atrial pressure basic logic cell cardiac cardiac tamponade chest tube combinations conclusion condition considered control strategy criteria current mirror decision defined degree described domain example fact FLOPS formulae fuzzy expert system fuzzy hardware systems fuzzy information fuzzy logic fuzzy numbers fuzzy relational equation fuzzy set theory given heuristic human operators IEEE implemented imprecise inference inference engine inverse problem kind of failure knowledge base knowledge representation linguistic logic programming mathematical MAX circuits membership function method modified module modus ponens non-fuzzy obtained output parameters pattern performance plant possibility distribution Prade present value procedure production rules proof path Queen Mary College queries relationship matrix represented rule-based controller samples self-organising controller setq STRATASSIST subproblem subset support logic programming support pair symptom techniques tion true truth values uncertainty variables Zadeh