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Fuzzy Logic-Based Material Selection and Synthesis (eBook)

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  • 37,316 Words
  • 276 Pages

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

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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