Description

Book Synopsis

Fuzzy logic principles, practices, and real-world applications

This hands-on guide offers clear explanations of fuzzy logic along with practical applications and real-world examples. Written by an award-winning engineer, Fuzzy Logic: Applications in Artificial Intelligence, Big Data, and Machine Learning is aimed at improving competence and motivation in students and professionals alike.

Inside, you will discover how to apply fuzzy logic in the context of pervasive digitization and big data across emerging technologies which require a very different man-machine relationship than the ones previously used in engineering, science, economics, and social sciences. Applications covered include intelligent energy systems with demand response, smart homes, electrification of transportation, supply chain efficiencies, smart cities, e-commerce, education, healthcare, and decarbonization.

  • Serves as a classroom guide and as an on-the-job resource

Fuzzy Logic Applications in Artificial

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£72.89

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RRP £80.99 – you save £8.10 (10%)

Order before 4pm tomorrow for delivery by Mon 19 Jan 2026.

A Paperback / softback by Lefteri Tsoukalas

15 in stock


    View other formats and editions of Fuzzy Logic Applications in Artificial by Lefteri Tsoukalas

    Publisher: McGraw-Hill Education
    Publication Date: 22/11/2023
    ISBN13: 9781264675913, 978-1264675913
    ISBN10: 1264675917

    Description

    Book Synopsis

    Fuzzy logic principles, practices, and real-world applications

    This hands-on guide offers clear explanations of fuzzy logic along with practical applications and real-world examples. Written by an award-winning engineer, Fuzzy Logic: Applications in Artificial Intelligence, Big Data, and Machine Learning is aimed at improving competence and motivation in students and professionals alike.

    Inside, you will discover how to apply fuzzy logic in the context of pervasive digitization and big data across emerging technologies which require a very different man-machine relationship than the ones previously used in engineering, science, economics, and social sciences. Applications covered include intelligent energy systems with demand response, smart homes, electrification of transportation, supply chain efficiencies, smart cities, e-commerce, education, healthcare, and decarbonization.

    • Serves as a classroom guide and as an on-the-job resource

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