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Intelligent Decision-making Models for Production and Retail Operations pp 19–35Cite as

Fundamentals of Intelligent Decision-Making Techniques

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Abstract

The fundamentals of computational intelligence (CI) techniques are introduced briefly in this chapter. The definition and classification of CI techniques are introduced firstly. Some representative CI techniques, especially those that have been usually used in solving decision-making problems in production and retail operations, are then presented to help readers understand CI techniques used in subsequent chapters. These techniques include evolutionary computation techniques and feedforward neural networks. The fundamentals of these techniques are introduced, including their origins, fundamental characteristics, applications, and the procedures to implement them.

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Authors and Affiliations

  1. Business School, Sichuan University, Chengdu, China

    Zhaoxia Guo

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  1. Zhaoxia Guo
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Correspondence to Zhaoxia Guo .

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Guo, Z. (2016). Fundamentals of Intelligent Decision-Making Techniques. In: Intelligent Decision-making Models for Production and Retail Operations. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-52681-1_2

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  • DOI: https://doi.org/10.1007/978-3-662-52681-1_2

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-52679-8

  • Online ISBN: 978-3-662-52681-1

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