£124.36

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Springer Learning Systems: Theory to Practice - Fuzzy Sets & AI

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Description

Explore cutting-edge advances in fuzzy sets and computing with words through this comprehensive volume from Springer's Studies in Computational Intelligence series. This book presents the latest innovations in intelligent technologies and systems from leading researchers worldwide, covering intelligent control, intuitionistic fuzzy quantifiers, and practical applications across data science and industrial domains. Whether you're developing advanced intelligent products or seeking lessons learned from real-world implementations, this resource bridges theoretical foundations and practical deployment strategies for modern AI and machine learning systems.

Key Features

Part of Springer's Studies in Computational Intelligence series (volume 756), providing peer-reviewed content from respected academics and practitioners.

Covers intelligent control systems and intuitionistic fuzzy quantifiers with detailed theoretical frameworks and implementation guidance.

Includes data science and industrial applications demonstrating how fuzzy logic and computing with words solve real-world problems.

Presents innovations in fuzzy sets technology from global contributors, offering diverse perspectives on advanced intelligent system design.

Bridges theory and practice with valuable lessons learned and ideas for developing next-generation intelligent products and systems.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
24 January 2019
Listed Since
23 January 2019

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