£148.05

Springer Integration of Fuzzy Logic and Chaos Theory - 187

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Description

Explore the complex relationship between imprecise information and nonlinear dynamics in this academic work from Springer. Part of the Studies in Fuzziness and Soft Computing series, this volume addresses the historical evolution of scientific thought regarding uncertainty and randomness. The text traces the development of fuzzy set theory and fuzzy logic, originally introduced by Lotfi A. Zadeh, to manage data that does not fit traditional binary models. It also examines the emergence of chaos theory, following the discovery by E. N. Lorenz of deterministic systems that exhibit random behaviors. This book provides a technical look at how these once-controversial concepts became accepted by scientists and engineers worldwide. It serves as a specialized resource for those studying the intersection of soft computing, complex systems, and mathematical logic.

Key Features

Part of the professional Studies in Fuzziness and Soft Computing series (Volume 187).

Covers the historical development of fuzzy set theory and infinite-valued logic.

Examines the transition of chaotic systems from unusual discoveries to accepted scientific principles.

Provides technical context on how scientists manage imprecise information and complex dynamics.

Authored and published by Springer, a leading name in academic and scientific literature.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
12 February 2010
Listed Since
20 September 2010

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No barcode data available

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