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Qualitative Process Theory Using Linguistic Variables

  • Book
  • © 1989

Overview

Authors:
  1. Bruce D’Ambrosio

    1. Department of Computer Science, Oregon State University, Corvallis, USA

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Part of the book series: Symbolic Computation (SYMBOLIC)

Part of the book sub series: Artificial Intelligence (1064)

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. Overview

    • Bruce D’Ambrosio
    Pages 1-4

  3. Fuzzy Logic Control

    • Bruce D’Ambrosio
    Pages 5-15

  4. Introduction to Qualitative Process Theory

    • Bruce D’Ambrosio
    Pages 16-30

  5. Application of QP Theory to Process Control - An Example

    • Bruce D’Ambrosio
    Pages 31-43

  6. Ambiguity in QP Theory

    • Bruce D’Ambrosio
    Pages 44-55

  7. Linguistic Variables

    • Bruce D’Ambrosio
    Pages 56-81

  8. Linguistic Quantity Spaces

    • Bruce D’Ambrosio
    Pages 82-95

  9. Characterization of Functional Relationships

    • Bruce D’Ambrosio
    Pages 96-119

  10. Qualitative Perturbation Analysis

    • Bruce D’Ambrosio
    Pages 120-141

  11. Evaluation and Conclusion

    • Bruce D’Ambrosio
    Pages 142-153

  12. Back Matter

    Pages 154-156
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Keywords

About this book

8. 5 Summary In this chapter we have identified three basic patterns of influences that lead to ambiguity in the QP analysis of the basic active furnace state. We have then shown how modification of these patterns, by adding equilibrium values and sensitivity annotations on influence arcs, could permit resolu­ tion of the ambiguities. Finally, we have described in detail the extensions needed to the basic influence resolution algorithm in QP theory to oper­ ate on these extended descriptions. We have also shown that the modified influence resolution algorithm corrects an error in Forbus' original method for combining influences. We have then presented an extended example in which introduction of equilibrium assumptions eliminates all ambigu­ ity in the influence resolution deduction. In the next chapter we extend these techniques further, by developing a qualitative perturbation analysis technique that permits us to answer "what ir' control questions; then we extend this technique to obtain quantitative, as well as qualitative, effects of hypothetical control actions. 8.

Authors and Affiliations

  • Department of Computer Science, Oregon State University, Corvallis, USA

    Bruce D’Ambrosio

Bibliographic Information

  • Book Title: Qualitative Process Theory Using Linguistic Variables

  • Authors: Bruce D’Ambrosio

  • Series Title: Symbolic Computation

  • DOI: https://doi.org/10.1007/978-1-4613-9671-0

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag New York Inc. 1989

  • Softcover ISBN: 978-1-4613-9673-4Published: 19 January 2012

  • eBook ISBN: 978-1-4613-9671-0Published: 06 December 2012

  • Edition Number: 1

  • Number of Pages: X, 156

  • Number of Illustrations: 1 b/w illustrations

  • Topics: Artificial Intelligence, Natural Language Processing (NLP)

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