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Advanced Models and Tools for Effective Decision Making Under Uncertainty and Risk Contexts

Advanced Models and Tools for Effective Decision Making Under Uncertainty and Risk Contexts

Copyright: © 2021 |Pages: 423
ISBN13: 9781799832461|ISBN10: 1799832465|ISBN13 Softcover: 9781799832478|EISBN13: 9781799832485
DOI: 10.4018/978-1-7998-3246-1
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MLA

González-Prida, Vicente, and María Carmen Carnero, editors. Advanced Models and Tools for Effective Decision Making Under Uncertainty and Risk Contexts. IGI Global, 2021. https://doi.org/10.4018/978-1-7998-3246-1

APA

González-Prida, V. & Carnero, M. (Eds.). (2021). Advanced Models and Tools for Effective Decision Making Under Uncertainty and Risk Contexts. IGI Global. https://doi.org/10.4018/978-1-7998-3246-1

Chicago

González-Prida, Vicente, and María Carmen Carnero, eds. Advanced Models and Tools for Effective Decision Making Under Uncertainty and Risk Contexts. Hershey, PA: IGI Global, 2021. https://doi.org/10.4018/978-1-7998-3246-1

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Business industries depend on advanced models and tools that provide an optimal and objective decision-making process, ultimately guaranteeing improved competitiveness, reducing risk, and eliminating uncertainty. Thanks in part to the digital era of the modern world, reducing these conditions has become much more manageable.

Advanced Models and Tools for Effective Decision Making Under Uncertainty and Risk Contexts provides research exploring the theoretical and practical aspects of effective decision making based not only on mathematical techniques, but also on those technological tools that are available nowadays in the Fourth Industrial Revolution. Featuring coverage on a broad range of topics such as industrial informatics, knowledge management, and production planning, this book is ideally designed for decision makers, researchers, engineers, academicians, and students.

Table of Contents

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Front Materials
Title Page
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Copyright Page
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Advances in Business Strategy and Competitive Advantage (ABSCA) Book Series
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Editorial Advisory Board
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Preface
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Acknowledgement
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Chapters
Chapter 1
Section 1  (pages 22-22)
Section 1
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Chapter 2
Section 2  (pages 184-184)
Section 2
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Chapter 3
Section 3  (pages 276-276)
Section 3
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Back Materials
Compilation of References
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About the Contributors
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Index
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