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Reasoning with Rough Sets

Reasoning with Rough Sets

Seiki Akama / Tetsuya Murai / Yasuo Kudo

134,28 €
IVA incluido
Disponible
Editorial:
Springer Nature B.V.
Año de edición:
2019
Materia
Inteligencia artificial
ISBN:
9783319891958
134,28 €
IVA incluido
Disponible

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Sobre IBD

This book explores reasoning with rough sets by developing a granularity-based framework. It begins with a brief description of the rough set theory, then examines selected relations between rough set theory and non-classical logics including modal logic. In addition, it develops a granularity-based framework for reasoning in which various types of reasoning can be formalized. The book will be of interest to all researchers whose work involves Artificial Intelligence, databases and/or logic.

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Otros libros del autor

  • Topics in Rough Set Theory
    Seiki Akama / Tetsuya Murai / Yasuo Kudo
    This book discusses current topics in rough set theory.  Since Pawlak’s rough set theory was first proposed to offer a basis for imprecise and uncertain data and reasoning from data, many workers have investigated its foundations and applications. Examining various topical issues, including object-oriented rough set models, recommendation systems, decision tables, and granular ...
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  • Topics in Rough Set Theory
    Seiki Akama / Tetsuya Murai / Yasuo Kudo
    This book discusses current topics in rough set theory.  Since Pawlak’s rough set theory was first proposed to offer a basis for imprecise and uncertain data and reasoning from data, many workers have investigated its foundations and applications. Examining various topical issues, including object-oriented rough set models, recommendation systems, decision tables, and granular ...
  • Reasoning with Rough Sets
    Seiki Akama / Tetsuya Murai / Yasuo Kudo
    This book explores reasoning with rough sets by developing a granularity-based framework. It begins with a brief description of the rough set theory, then examines selected relations between rough set theory and non-classical logics including modal logic. In addition, it develops a granularity-based framework for reasoning in which various types of reasoning can be formalized. ...