Cognitive Intelligence with Neutrosophic Statistics in Bioinformatics (Cognitive Data Science in Sustainable Computing) - Softcover

Softcover

ISBN 10: 0323994563 ISBN 13: 9780323994569

Verlag: Academic Press, 2023

Inhaltsangabe

Cognitive Intelligence with Neutrosophic Statistics in Bioinformatics investigates and presents the many applications that have arisen in the last ten years using neutrosophic statistics in bioinformatics, medicine, agriculture and cognitive science. This book will be very useful to the scientific community, appealing to audiences interested in fuzzy, vague concepts from which uncertain data are collected, including academic researchers, practicing engineers and graduate students. Neutrosophic statistics is a generalization of classical statistics. In classical statistics, the data is known, formed by crisp numbers. In comparison, data in neutrosophic statistics has some indeterminacy. This data may be ambiguous, vague, imprecise, incomplete, and even unknown.

Neutrosophic statistics refers to a set of data, such that the data or a part of it are indeterminate in some degree, and to methods used to analyze the data.

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Über die Autorinnen und Autoren

Prof. Dr. Florentin Smarandache is a professor of mathematics at the University of New Mexico, United states. He is the founder of neutrosophy (generalization of dialectics), neutrosophic set, neutrosophic logic, neutrosophic probability and neutrosophic statistics since 1995 and has published hundreds of papers and books on multispace and multistructure, hypersoft set, degree of dependence and independence between neutrosophic components, refined neutrosophic set, neutrosophic over-under-off-set, plithogenic set, neutrosophic triplet and duplet structures, quadruple neutrosophic structures, extension of algebraic structures to NeutroAlgebras and AntiAlgebras, Dezert Smarandache Theory and so on to many peer-reviewed international journals and many books and he presented papers and plenary lectures to many international conferences around the world.

Muhammad Aslam is a full professor of statistics in the Department of Statistics, King Abdulaziz University, Jeddah, in Saudi Arabia. He has published over 500 research papers in national and international well-reputed journals such as IEEE Access, Journal of Applied Statistics, European Journal of Operation Research, Information Sciences, International Journal of Fuzzy Systems, International Journal of Advanced Manufacturer Technology, and has authored three books published by VDM, Germany, Springer, and Wiley. Professor Aslam is recipient of the Meritorious Service Award in research from NCBAE, as well as the Research Productivity Award from the Pakistan Council for Science and Technology and King Abdulaziz University Excellence Awards in scientific research. He introduced the concept of Neutrosophic Statistical Quality Control (NSQC). He is the founder of Neutrosophic Inferential Statistics (NIS) and NSQC. His areas of interest include industrial statistics, neutrosophic inferential statistics, neutrosophic statistics, neutrosophic quality control, neutrosophic applied statistics, and classical applied statistics.

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Neutrosophic statistics is a generalization of classical statistics. In classical statistics, the data is known, formed by crisp numbers. In comparison, data in neutrosophic statistics has some indeterminacy. This data may be ambiguous, vague, imprecise, incomplete, and even unknown. Instead of crisp numbers used in classical statistics, one uses sets that approximate these crisp numbers. Neutrosophic statistics refers to a set of data, such that the data or a part of it are indeterminate in some degree, and to methods used to analyze the data.

Cognitive Intelligence with Neutrosophic Statistics in Bioinformatics investigates and presents the many applications that have arisen in the last ten years using neutrosophic statistics in bioinformatics, medicine, agriculture, and cognitive science. This book will be very useful to the scientific community, appealing to audiences interested in fuzzy, vague concepts from which uncertain data are collected, including academic researchers, practicing engineers, and graduate students.

Details zur Ausgabe

• Verlag: Academic Press
• Erscheinungsdatum: 2023
• Sprache: Englisch
• ISBN 10: 0323994563
• ISBN 13: 9780323994569
• Einband: Taschenbuch
• Auflage: 1
• Anzahl der Seiten: 494
• Herausgeber: Smarandache, Aslam
• Kontakt zum Hersteller: preigu GmbH & Co. KG; mail@preigu.de; ; Lengericher Landstr. 19; Osnabrück; Niedersachsen; 49078; Deutschland