2023 | ISBN: 0323994563 | English | 695 Pages | PDF | 20 MB

ognitive 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 acad researchers, practicing eeers 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 indeteacy. 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 indeteate in some degree, and to methods used to analyze the data.