£117.09

Springer - Soft Methods for Integrated Uncertainty Modelling

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Description

Explore the principles of soft computing through this academic volume from Springer. Part of the Advances in Intelligent and Soft Computing series, this book addresses how uncertainty, imprecision, and ignorance can be explicitly represented and utilized within computational problems. Unlike conventional hard computing, which seeks to eliminate variables, soft computing is designed to be tolerant of partial truths and uncertainty. By using the human mind as a model, the text examines how soft computing methods handle real-world complexities that traditional methods often ignore. This resource is essential for those studying the evolution of fuzzy systems and the growing field of intelligent computing. It provides a deep look into how mathematical and computational models can adapt to imprecise data to solve complex problems more effectively.

Key Features

Part of the Advances in Intelligent and Soft Computing series, volume 37, providing specialized academic research.

Focuses on soft computing methods that are tolerant of imprecision and partial truth in data.

Explores the representation of uncertainty and ignorance within computational frameworks.

Provides a comparative look at how soft computing differs from traditional hard computing methods.

Uses the human mind as a functional model for understanding intelligent computing processes.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
14 August 2006
Listed Since
31 December 2006

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No barcode data available

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