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Towards Analytical Techniques for Systems Engineering Applications

  • Book
  • © 2020

Overview

Authors:
  1. Griselda Acosta

    1. University of Texas at El Paso, El Paso, USA

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  2. Eric Smith

    1. Department of Industrial, Manufacturing, and Systems Engineering, University of Texas at El Paso, El Paso, USA

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    You can also search for this author in PubMed   Google Scholar

  3. Vladik Kreinovich

    1. Department of Computer Science, University of Texas at El Paso, El Paso, USA

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  • Discusses analytical techniques for systems engineering applications
  • Formulates and analyzes general problems corresponding to different stages of system design, implementation, testing and monitoring
  • Uses examples to demonstrate how the corresponding analytical techniques can be applied in various domains
  • Presents applications ranging from biological and biomedical systems (from cows to humans) and social systems (such as recommender systems), to physical systems (for which a new system-based explanation of the minimum entropy principle is provided), and engineering systems

Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 286)

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Table of contents (18 chapters)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. Formulation of the Problem

    • Griselda Acosta, Eric Smith, Vladik Kreinovich
    Pages 1-4

  3. Analytical Techniques for Describing User Preferences: Justification for (and Extension Of) the Matrix Factorization Technique

    • Griselda Acosta, Eric Smith, Vladik Kreinovich
    Pages 5-9

  4. Analytical Techniques for Describing User Preferences: 80/20 Rule Partially Explains 7 Plus Minus 2 Law: General System-Based Analysis

    • Griselda Acosta, Eric Smith, Vladik Kreinovich
    Pages 11-13

  5. Analytical Techniques for Analyzing Probability Distributions: How to Explain That Changes in Elderlies Depression Level Are Uniformly Distributed

    • Griselda Acosta, Eric Smith, Vladik Kreinovich
    Pages 15-18

  6. Analytical Techniques for Analyzing How Systems Change with Time: A Natural Explanation for the Minimum Entropy Production Principles

    • Griselda Acosta, Eric Smith, Vladik Kreinovich
    Pages 19-25

  7. Analytical Techniques for Gauging Accuracy of Expert Knowledge: A Simple System-Based Explanation of the Dunning–Kruger Effect

    • Griselda Acosta, Eric Smith, Vladik Kreinovich
    Pages 27-32

  8. Analytical Techniques Help Enhance the Results of Data Mining: Case Study of Cow Insemination

    • Griselda Acosta, Eric Smith, Vladik Kreinovich
    Pages 33-36

  9. Analytical Techniques Help Enhance the Results of Data Mining: Why Pink Noise Is Best for Enhancing Sleep and Memory

    • Griselda Acosta, Eric Smith, Vladik Kreinovich
    Pages 37-39

  10. Analytical Techniques Help Enhance the Results of Data Mining: Why Filtering Out Higher Harmonics Makes It Easier to Carry a Tune

    • Griselda Acosta, Eric Smith, Vladik Kreinovich
    Pages 41-45

  11. Case When Analytical Techniques Invalidate the Conclusions of Data Mining: Reversed Flynn Effect of Decreasing IQ Test Scores

    • Griselda Acosta, Eric Smith, Vladik Kreinovich
    Pages 47-52

  12. Analytical Techniques in Hypothesis Testing: Why Area Under the Curve?

    • Griselda Acosta, Eric Smith, Vladik Kreinovich
    Pages 53-56

  13. It Is Important to Revisit the Selection of the Best Model When New Data Appear: Why Confirmation Bias is a Faulty Strategy

    • Griselda Acosta, Eric Smith, Vladik Kreinovich
    Pages 57-60

  14. Need for a Careful Comparison Between Hypotheses: Case Study of Epicycles

    • Griselda Acosta, Eric Smith, Vladik Kreinovich
    Pages 61-64

  15. Analytical Techniques Help in Emulating Biological Systems: An Explanation of Why High-Level Attention Constantly Oscillates

    • Griselda Acosta, Eric Smith, Vladik Kreinovich
    Pages 65-71

  16. Analytical Techniques for Taking into Account Several Aspects of a Designed Systems: Case Study of Computation-Communication Tradeoff

    • Griselda Acosta, Eric Smith, Vladik Kreinovich
    Pages 73-79

  17. Users Do Not Always Follow Expert Recommendations: Analytical Technique Explains Empirical Data

    • Griselda Acosta, Eric Smith, Vladik Kreinovich
    Pages 81-83

  18. Analytical Techniques for Making Recommendations More Acceptable to Users: Status Quo Bias Actually Helps Decision Makers to Take Nonlinearity into Account

    • Griselda Acosta, Eric Smith, Vladik Kreinovich
    Pages 85-88

  19. Analytical Techniques for Testing: Optimal Distribution of Testing Resources Between Different System Levels

    • Griselda Acosta, Eric Smith, Vladik Kreinovich
    Pages 89-95

  20. Back Matter

    Pages 97-101
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Keywords

About this book

This book is intended for specialists in systems engineering interested in new, general techniques and for students and practitioners interested in using these techniques for solving specific practical problems. For many real-world, complex systems, it is possible to create easy-to-compute explicit analytical models instead of time-consuming computer simulations. Usually, however, analytical models are designed on a case-by-case basis, and there is a scarcity of general techniques for designing such easy-to-compute models. This book fills this gap by providing general recommendations for using analytical techniques in all stages of system design, implementation, testing, and monitoring. It also illustrates these recommendations using applications in various domains, such as more traditional engineering systems, biological systems (e.g., systems for cattle management), and medical and social-related systems (e.g., recommender systems).

Authors and Affiliations

  • University of Texas at El Paso, El Paso, USA

    Griselda Acosta

  • Department of Industrial, Manufacturing, and Systems Engineering, University of Texas at El Paso, El Paso, USA

    Eric Smith

  • Department of Computer Science, University of Texas at El Paso, El Paso, USA

    Vladik Kreinovich

Bibliographic Information

  • Book Title: Towards Analytical Techniques for Systems Engineering Applications

  • Authors: Griselda Acosta, Eric Smith, Vladik Kreinovich

  • Series Title: Studies in Systems, Decision and Control

  • DOI: https://doi.org/10.1007/978-3-030-46413-4

  • Publisher: Springer Cham

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020

  • Hardcover ISBN: 978-3-030-46412-7Published: 07 May 2020

  • Softcover ISBN: 978-3-030-46415-8Published: 07 May 2021

  • eBook ISBN: 978-3-030-46413-4Published: 06 May 2020

  • Series ISSN: 2198-4182

  • Series E-ISSN: 2198-4190

  • Edition Number: 1

  • Number of Pages: X, 101

  • Number of Illustrations: 1 b/w illustrations

  • Topics: Control and Systems Theory, Complexity, Data Engineering

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