£123.77

Springer Lattice-Valued Logic - Studies in Fuzziness 132

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Description

Lattice-Valued Logic provides a necessary logical foundation for the processing of uncertain information. This textbook addresses how both humans and artificial intelligence systems manage complex data by establishing a framework for handling fuzziness and incomparability. As part of the Studies in Fuzziness and Soft Computing series, this volume offers a general introduction to lattice-valued logic for the first time. It systematically summarizes research starting from basic notions and moving through to recent results in lattice implication algebras. Readers will find a comprehensive guide to lattice-valued logic systems and their corresponding reasoning theories and methods. This book is designed to provide the theoretical logical background required to understand and implement lattice-valued logic systems. It serves as a vital resource for those studying the mathematical structures that support advanced AI and machine learning processes.

Key Features

Provides a general introduction to lattice-valued logic, making complex theoretical concepts accessible for the first time.

Systematically summarizes research from foundational notions to recent results in lattice implication algebras.

Covers lattice-valued logic systems based on lattice implication algebras to support advanced reasoning theories.

Establishes a logical foundation for processing uncertain information in human and artificial intelligence systems.

Offers a comprehensive theoretical background for understanding various lattice-valued logic systems and methods.

Product Specifications

Format
Hardcover
Domain
Amazon UK
Release Date
15 July 2003
Listed Since
12 February 2007

Barcode

No barcode data available

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