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Algebraic Methods in General Rough Sets
Algebraic Methods in General Rough Sets
Knygos.lt klubas Knygos.lt nariams
267,66 €
-15%
Įprastai
314,89 €
  • Išsiųsime per 12–18 d.d.
This unique collection of research papers offers a comprehensive and up-to-date guide to algebraic approaches to rough sets and reasoning with vagueness. It bridges important gaps, outlines intriguing future research directions, and connects algebraic approaches to rough sets with those for other forms of approximate reasoning. In addition, the book reworks algebraic approaches to axiomatic granularity. Given its scope, the book offers a valuable resource for researchers and teachers in the are…
  • Leidėjas:
  • ISBN-10: 3030011615
  • ISBN-13: 9783030011611
  • Formatas: 15.6 x 23.4 x 4 cm, kieti viršeliai
  • Kalba: Anglų

Algebraic Methods in General Rough Sets (el. knyga) (skaityta knyga) | knygos.lt

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This unique collection of research papers offers a comprehensive and up-to-date guide to algebraic approaches to rough sets and reasoning with vagueness. It bridges important gaps, outlines intriguing future research directions, and connects algebraic approaches to rough sets with those for other forms of approximate reasoning. In addition, the book reworks algebraic approaches to axiomatic granularity. Given its scope, the book offers a valuable resource for researchers and teachers in the areas of rough sets and algebras of rough sets, algebraic logic, non classical logic, fuzzy sets, possibility theory, formal concept analysis, computational learning theory, category theory, and other formal approaches to vagueness and approximate reasoning. Consultants in AI and allied fields will also find the book to be of great practical value.

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  • Leidėjas:
  • ISBN-10: 3030011615
  • ISBN-13: 9783030011611
  • Formatas: 15.6 x 23.4 x 4 cm, kieti viršeliai
  • Kalba: Anglų

This unique collection of research papers offers a comprehensive and up-to-date guide to algebraic approaches to rough sets and reasoning with vagueness. It bridges important gaps, outlines intriguing future research directions, and connects algebraic approaches to rough sets with those for other forms of approximate reasoning. In addition, the book reworks algebraic approaches to axiomatic granularity. Given its scope, the book offers a valuable resource for researchers and teachers in the areas of rough sets and algebras of rough sets, algebraic logic, non classical logic, fuzzy sets, possibility theory, formal concept analysis, computational learning theory, category theory, and other formal approaches to vagueness and approximate reasoning. Consultants in AI and allied fields will also find the book to be of great practical value.

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