## Advances in Fuzzy Set Theory and ApplicationsMadan M. Gupta, Rammohan K. Ragade, Ronald R. Yager |

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### Contents

Fuzzy Sets and Information Granularity | 3 |

R K RAGADE and M M GUPTA | 19 |

An Introduction | 27 |

Copyright | |

33 other sections not shown

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### Common terms and phrases

algebra algorithm analysis application approach approximate assume card arrangement classification clustering conditional possibility consider convex fuzzy numbers corresponding decision problem decision processes defined definition denote diagnosis elements entropy equations evaluation example experiment formal fuzzy clustering fuzzy concepts fuzzy event fuzzy games fuzzy information fuzzy logic fuzzy model fuzzy numbers fuzzy relation fuzzy set theory fuzzy subset fuzzy systems fuzzy variables given Goguen grade of membership IEEE impacts inference information system interpretation language lattice linguistic linguistic values linguistic variable M.M. Gupta mapping MATH mathematical means measure medium membership function method modus ponens modus tollens non-interactive North-Holland object obtained operations phrase policy choices possibility distribution power distance probabilistic probability problem properties proposition R-fuzzy representation rule sciences semantic simulation sortof structure subjective Table theorem theory of fuzzy tion truth value utility vague