Fuzzy Logic-Based Material Selection and Synthesis
eBook - ePub

Fuzzy Logic-Based Material Selection and Synthesis

  1. 276 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Fuzzy Logic-Based Material Selection and Synthesis

About this book

This unique compendium presents a comprehensive and self-contained theory of material development under imperfect information and its applications. The book describes new approaches to synthesis and selection of materials with desirable characteristics. Such approaches provide the ability of systematic and computationally effective analysis in order to predict composition, structure and related properties of new materials.

The volume will be a useful advanced textbook for graduate students. It is also suitable for academicians and practitioners who wish to have fundamental models in new material synthesis and selection.

Contents:

  • Preliminary Information on Fuzzy Logic
  • State-of-the-Art of Material Selection and Synthesis
  • Fuzzy Material Selection Methodology
  • Intelligent System for Synthesis of Materials with Characteristics Required
  • Case Study
  • Appendices


Readership: Researchers, academics, professionals and graduate students in fuzzy logic, materials engineering, mathematical modeling and AI.Fuzzy Sets;Z-Numbers;Fuzzy Decision Making;Fuzzy Clustering;Material Selection;Material Synthesis;Forecasting the Properties of Materials;Z-Number Data Base;Big Data00

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Yes, you can access Fuzzy Logic-Based Material Selection and Synthesis by Mustafa B Babanli in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover Page
  2. Title Page
  3. Copyright Page
  4. Dedication
  5. Preface
  6. About the Author
  7. Chapter 1 Preliminary Information on Fuzzy Logic
  8. Chapter 2 State-of-the-Art of Material Selection and Synthesis
  9. Chapter 3 Fuzzy Material Selection Methodology
  10. Chapter 4 Intelligent System for Synthesis of Materials with Characteristics Required
  11. Chapter 5 Case Study
  12. Appendix A Fuzzy Big Database on Candidate Materials (Alloys)
  13. Appendix B Fuzzy Big Database on Material Synthesis
  14. Appendix C Documentation of ZNCalc Software for Computation with Z-numbers
  15. Bibliography
  16. Index