Cognitive Intelligence with Neutrosophic Statistics in Bioinformatics
Language: English
Published by Elsevier Inc Feb 2023, 2023
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Add to basketItem description from seller
Neuware - 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.
Seller Inventory # 9780323994569
- Title
- Cognitive Intelligence with Neutrosophic Statistics in Bioinformatics
- Author
- Florentin Smarandache
- Publisher
- Elsevier Inc Feb 2023
- Publication year
- 2023
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 0323994563
- ISBN 13
- 9780323994569
- Item weight
- 656 grams
- Dimensions
- 229x152x25 mm
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.
- Introduces the field of neutrosophic statistics and how it can solve problems working with indeterminate (imprecise, ambiguous, vague, incomplete, unknown) data
- Presents various applications of neutrosophic statistics in the fields of bioinformatics, medicine, cognitive science and agriculture
- Provides practical examples and definitions of neutrosophic statistics in relation to the various types of indeterminacies
"Synopsis" may belong to another edition of this title.
About the Author
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.
"About the title" may belong to another edition of this title.
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