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Springer Fundamentals of Uncertainty Calculi with Applications to Fuzzy Inference

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Description

This comprehensive academic work explores the theoretical foundations and practical applications of uncertainty calculi in intelligent systems design. The book addresses the challenge of modelling human reasoning processes when working with imprecise and limited knowledge, a critical concern in developing smarter machines. Through rigorous mathematical frameworks and fuzzy inference methodology, the text bridges the gap between theoretical uncertainty principles and real-world implementation in intelligent systems. Designed for researchers, engineers and computing professionals, this Springer publication (Volume 30 in the Theory and Decision Library B series) provides essential insights into reasoning with incomplete information and developing systems that emulate human cognitive capabilities.

Key Features

Springer publication presenting foundational theory in uncertainty calculi for intelligent systems development and fuzzy logic applications.

Covers practical approaches to modelling human reasoning processes using fuzzy inference techniques to handle imprecise knowledge.

Part of the Theory and Decision Library B series, offering peer-reviewed academic content for advanced study and research.

Addresses engineering challenges in implementing intelligent systems that reason effectively with limited information.

Provides theoretical frameworks for developers and researchers working on artificial intelligence and machine reasoning applications.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
30 November 1994
Listed Since
15 February 2007

Barcode

No barcode data available

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