Cognitive Intelligence with Neutrosophic Statistics in Bioinformatics
eBook - ePub

Cognitive Intelligence with Neutrosophic Statistics in Bioinformatics

  1. 494 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Cognitive Intelligence with Neutrosophic Statistics in Bioinformatics

About this book

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

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Yes, you can access Cognitive Intelligence with Neutrosophic Statistics in Bioinformatics by Florentin Smarandache,Muhammad Aslam in PDF and/or ePUB format, as well as other popular books in Mathematics & Computer Science General. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Academic Press
Year
2023
Print ISBN
9780323994569
eBook ISBN
9780323994576
Topic
Mathematics
Subtopic
Computer Science General
Index
Mathematics

Table of contents

  1. Cognitive Intelligence with Neutrosophic Statistics in Bioinformatics
  2. 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)
  3. Chapter 2 Neutrosophic Weibull model with applications to survival studies
  4. 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
  5. Chapter 4 Neutrosophic linear models for bioinformatics
  6. Chapter 5 Modeling epidemics based on quantum decision-making model by the qutrit states and employing neutrosophic form of percolation analysis
  7. Chapter 6 Use of neutrosophic statistics to analyze the measured data of diabetes
  8. Chapter 7 Analysis of changes in blood pressure of women during pregnancy through neutrosophic statistics
  9. Chapter 8 Neutrosophic statistical analysis of changes in blood pressure, pulse rate and temperature of human body due to COVID-19
  10. Chapter 9 A study of human respiration rate through neutrosophic statistics
  11. Chapter 10 Neutrosophic diagnosis of rural women vulnerable to anemia
  12. Chapter 11 Various sampling inspection plans for cancer patients using gamma distribution under indeterminacy
  13. Chapter 12 Improved correlation coefficients in neutrosophic statistics for COVID patients using pentapartitioned neutrosophic sets
  14. Chapter 13 Post-pandemic impact on the occupational shift of rural populace—a case study using neutrosophic comparison t-test
  15. Chapter 14 A novel approach of neutrosophic continuous probability distributions using AH-isometry with applications in medicine
  16. Chapter 15 Monitoring COVID-19 cases under uncertainty
  17. Chapter 16 Neutrosophic statistical analysis of hybrid work model of medical professionals
  18. Chapter 17 Neutrosophic regression cum ratio estimators for the population mean: an application in medical science
  19. Chapter 18 Effectiveness on impact of COVID vaccines on correlation coefficients of pentapartitioned neutrosophic pythagorean statistics
  20. Chapter 19 Neutrosophic statistics and the medical data: a systematic review
  21. Chapter 20 Comparative behavior of systolic blood pressure under indeterminacy
  22. Chapter 21 Effects of wild medicinal edible plant to prevent COVID-19: a survey by neutrosophic statistics in tribal people of Kokrajhar, Assam, India
  23. Chapter 22 Generalized robust-type neutrosophic ratio estimators of pharmaceutical daily stock prices
  24. Chapter 23 Multi-attribute decision-making problem in medical diagnosis using neutrosophic probabilistic distance measures
  25. Index