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Springer Expert Fuzzy Information Processing: Semantic Spaces - Volume 268

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Description

Expert Fuzzy Information Processing presents comprehensive methods for constructing and analysing expert evaluation models through semantic spaces with completeness and orthogonality properties. This volume in Springer's Studies in Fuzziness and Soft Computing series explores complete orthogonal semantic spaces, demonstrating how these frameworks effectively capture expert evaluations across diverse fields. The book combines theoretical foundations with practical applications, offering researchers and practitioners detailed techniques for comparing and implementing semantic space models. Ideal for professionals working in fuzzy logic, artificial intelligence, and expert systems who seek rigorous approaches to representing and processing expert knowledge.

Key Features

Springer publication in the Studies in Fuzziness and Soft Computing series, volume 268, focusing on advanced fuzzy information processing methodologies.

Detailed coverage of complete orthogonal semantic spaces for constructing expert evaluation models with rigorous mathematical properties.

Practical methods for analysing and comparing semantic space models applied across multiple research and industry domains.

Comprehensive treatment combining theoretical research with real-world examples demonstrating effective expert knowledge representation.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
29 May 2013
Listed Since
23 May 2013

Barcode

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