Babanli, Mustafa B.
Fuzzy logic-based material selection and synthesis [electronic resource] / Mustafa B. Babanli. - Singapore : World Scientific Publishing Co. Pte Ltd., ©2019. - 1 online resource (276 p.) : ill.
Includes bibliographical references and index.
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.
"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."--
Mode of access: World Wide Web.
System requirements: Adobe Acrobat Reader.
9789813276574
Fuzzy logic.
Materials--Mathematical models.
Artificial intelligence.
Electronic books.
QA9.64 / .B22 2019
511.3/13
Fuzzy logic-based material selection and synthesis [electronic resource] / Mustafa B. Babanli. - Singapore : World Scientific Publishing Co. Pte Ltd., ©2019. - 1 online resource (276 p.) : ill.
Includes bibliographical references and index.
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.
"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."--
Mode of access: World Wide Web.
System requirements: Adobe Acrobat Reader.
9789813276574
Fuzzy logic.
Materials--Mathematical models.
Artificial intelligence.
Electronic books.
QA9.64 / .B22 2019
511.3/13