
Cognitive Intelligence with Neutrosophic Statistics in Bioinformatics
- 1st Edition - February 11, 2023
- Editors: Florentin Smarandache, Muhammad Aslam
- Language: English
- Paperback ISBN:9 7 8 - 0 - 3 2 3 - 9 9 4 5 6 - 9
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 9 9 4 5 7 - 6
Cognitive Intelligence with Neutrosophic Statistics in Bioinformatics investigates and presents the many applications that have arisen in the last ten years using neutrosop… Read more

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Request a sales quoteCognitive 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
- Cover image
- Title page
- Table of Contents
- Copyright
- List of contributors
- About the editors
- Chapter 1. Introduction and advances to neutrosophic probability and statistics and plithogenic probability and statistics and their applications in bioinformatics and other fields (review chapter)
- Abstract
- 1.1 Introduction
- 1.2 Definitions
- 1.3 Neutrosophic probability
- 1.4 Neutrosophic statistics
- 1.5 Applications of neutrosophic statistics in the medical field and other areas
- 1.6 Conclusions
- References
- Chapter 2. Neutrosophic Weibull model with applications to survival studies
- Abstract
- 2.1 Introduction
- 2.2 Proposed model with some associated functions
- 2.3 Theoretical background
- 2.4 Estimation method
- 2.5 Simulation study
- 2.6 Illustrative example
- 2.7 Conclusions
- References
- Chapter 3. Using the four-valued Rasch model in the preparation of neutrosophic form of risk maps for the spread of COVID-19 in Turkey
- Abstract
- 3.1 Introduction and motivation
- 3.2 Background, definitions, and notations
- 3.3 Literature review and state of the art
- 3.4 Problem/system/application definition
- 3.5 Proposed solution
- 3.6 Analysis
- 3.7 Use cases
- 3.8 Applications
- 3.9 Discussion
- 3.10 Conclusions
- 3.11 Outlook and future work
- References
- Chapter 4. Neutrosophic linear models for bioinformatics
- Abstract
- 4.1 Introduction and motivation
- 4.2 Background, definitions, and notations
- 4.3 Application of proposed neutrosophic linear models
- 4.4 Discussion
- 4.5 Conclusions
- References
- Chapter 5. Modeling epidemics based on quantum decision-making model by the qutrit states and employing neutrosophic form of percolation analysis
- Abstract
- 5.1 Introduction and motivation
- 5.2 Background, definitions, and notations
- 5.3 Literature review and state of the art
- 5.4 Problem/system/application definition
- 5.5 Proposed solution
- 5.6 Analysis
- 5.7 Use cases
- 5.8 Applications
- 5.9 Discussion
- 5.10 Conclusions
- 5.11 Outlook and future work
- References
- Chapter 6. Use of neutrosophic statistics to analyze the measured data of diabetes
- Abstract
- 6.1 Introduction and motivation
- 6.2 Background, definitions, and abbreviations
- 6.3 Literature review and state of the art
- 6.4 Problem
- 6.5 The proposed solution of the problem
- 6.6 Analysis of data
- 6.7 Statistical conditions
- 6.8 Discussion
- 6.9 Conclusion
- References
- Chapter 7. Analysis of changes in blood pressure of women during pregnancy through neutrosophic statistics
- Abstract
- 7.1 Introduction and motivation
- 7.2 Background, definitions, and abbreviations
- 7.3 Literature review and state of the art
- 7.4 Problem
- 7.5 Proposed solution to the problem
- 7.6 Analysis of data
- 7.7 Statistical conditions
- 7.8 Discussion
- 7.9 Conclusion
- References
- Chapter 8. Neutrosophic statistical analysis of changes in blood pressure, pulse rate and temperature of human body due to COVID-19
- Abstract
- 8.1 Introduction and motivation
- 8.2 Background, definitions, and abbreviations
- 8.3 Literature review and state of the art
- 8.4 Problem
- 8.5 Proposed solution to the problem
- 8.6 Analysis of data
- 8.7 Statistical conditions
- 8.8 Discussion
- 8.9 Conclusions
- References
- Chapter 9. A study of human respiration rate through neutrosophic statistics
- Abstract
- 9.1 Introduction and motivation
- 9.2 Background, definitions, and abbreviations
- 9.3 Literature review and state of the art
- 9.4 Problem
- 9.5 The proposed solution of the problem
- 9.6 Analysis of data
- 9.7 Statistical conditions
- 9.8 Discussion
- 9.9 Conclusion
- References
- Chapter 10. Neutrosophic diagnosis of rural women vulnerable to anemia
- Abstract
- 10.1 Introduction and motivation
- 10.2 Background, definitions, and notations
- 10.3 Literature review and state of the art
- 10.4 Problem definition
- 10.5 Analysis
- 10.6 Discussion
- 10.7 Conclusion
- References
- Chapter 11. Various sampling inspection plans for cancer patients using gamma distribution under indeterminacy
- Abstract
- 11.1 Introduction
- 11.2 Gamma distribution for indeterminacy
- 11.3 Single sampling plan under indeterminacy
- 11.4 Repetitive sampling plan under indeterminacy
- 11.5 Conclusions
- References
- Chapter 12. Improved correlation coefficients in neutrosophic statistics for COVID patients using pentapartitioned neutrosophic sets
- Abstract
- 12.1 Introduction
- 12.2 Preliminaries
- 12.3 Improved correlation coefficients
- 12.4 Decision-making using the improved correlation coefficient of pentapartitioned neutrosophic sets
- 12.5 Interval-valued pentapartitioned neutrosophic sets
- 12.6 Decision-making using the improved correlation coefficient of IVPNSs
- 12.7 Decision-making under pentapartitioned neutrosophic environment
- 12.8 Conclusion
- Funding
- Acknowledgments
- Conflicts of interest
- References
- Chapter 13. Post-pandemic impact on the occupational shift of rural populace—a case study using neutrosophic comparison t-test
- Abstract
- 13.1 Introduction and motivation
- 13.2 Literature review and state of the art
- 13.3 Problem definition
- 13.4 Conclusion and future work
- References
- Chapter 14. A novel approach of neutrosophic continuous probability distributions using AH-isometry with applications in medicine
- Abstract
- 14.1 Introduction
- 14.2 Background, definitions, and notations
- 14.3 Literature review and state of the art
- 14.4 Neutrosophic random variables
- 14.5 Some neutrosophic probability density functions
- 14.6 Applications and numerical examples
- 14.7 Discussion
- 14.8 Conclusions
- 14.9 Outlook and future work
- References
- Chapter 15. Monitoring COVID-19 cases under uncertainty
- Abstract
- 15.1 Introduction
- 15.2 Materials and methods
- 15.3 Design of neutrosophic control chart
- 15.4 Results
- 15.5 Discussions
- 15.6 Conclusions
- References
- Chapter 16. Neutrosophic statistical analysis of hybrid work model of medical professionals
- Abstract
- 16.1 Introduction and motivation
- 16.2 Background, definitions, and notations
- 16.3 Literature review and state of the art
- 16.4 Application to the work productivity of medical professionals using hybrid work model
- 16.5 Discussions
- 16.6 Conclusion and future work
- References
- Chapter 17. Neutrosophic regression cum ratio estimators for the population mean: an application in medical science
- Abstract
- 17.1 Introduction
- 17.2 Proposed neutrosophic estimators
- 17.3 Empirical study
- 17.4 Results and discussion
- 17.5 Conclusion
- Acknowledgments
- References
- Chapter 18. Effectiveness on impact of COVID vaccines on correlation coefficients of pentapartitioned neutrosophic pythagorean statistics
- Abstract
- 18.1 Introduction and motivation
- 18.2 Background, definitions, and notations
- 18.3 Correlation measure of pentapartitioned neutrosophic pythagorean sets
- 18.4 Interval-valued pentapartitioned neutrosophic Pythagorean set
- 18.5 Application
- 18.6 Conclusion
- References
- Chapter 19. Neutrosophic statistics and the medical data: a systematic review
- Abstract
- 19.1 Neutrosophic statistics
- References
- Chapter 20. Comparative behavior of systolic blood pressure under indeterminacy
- Abstract
- 20.1 Introduction
- 20.2 Background and motivation
- 20.3 Methodology
- 20.4 Sources of data
- 20.5 Data description
- 20.6 Interpretation and discussion
- 20.7 Conclusion
- Appendix
- References
- Chapter 21. Effects of wild medicinal edible plant to prevent COVID-19: a survey by neutrosophic statistics in tribal people of Kokrajhar, Assam, India
- Abstract
- 21.1 Introduction and motivation
- 21.2 Novelty of the work
- 21.3 A classification of the wild edible medicinal plant of Kokrajhar
- 21.4 Data set preparation
- 21.5 About VIKOR strategy
- 21.6 Case study
- 21.7 Result and discussion
- 21.8 Conclusion
- Acknowledgments
- References
- Chapter 22. Generalized robust-type neutrosophic ratio estimators of pharmaceutical daily stock prices
- Abstract
- 22.1 Introduction
- 22.2 Terminology
- 22.3 Some related neutrosophic estimators
- 22.4 Generalized robust-type neutrosophic ratio estimator
- 22.5 Simulation study
- 22.6 Discussion
- 22.7 Conclusion
- References
- Chapter 23. Multi-attribute decision-making problem in medical diagnosis using neutrosophic probabilistic distance measures
- Abstract
- 23.1 Introduction
- 23.2 Preliminaries
- 23.3 Probabilistic distance measure on single-valued neutrosophic sets
- 23.4 Methodologies in neutrosophic multi-attribute decision-making problems
- 23.5 Numerical example: application of single-valued neutrosophic probabilistic distance measures in medical diagnosis
- 23.6 Results and discussion
- 23.7 Advantages and limitations
- 23.8 Conclusions and future work
- References
- Index
- No. of pages: 494
- Language: English
- Edition: 1
- Published: February 11, 2023
- Imprint: Academic Press
- Paperback ISBN: 9780323994569
- eBook ISBN: 9780323994576
FS
Florentin Smarandache
MA