Cognitive Intelligence with Neutrosophic Statistics in Bioinformatics

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.

《認知智能與中性統計在生物信息學中的應用》探討並呈現了過去十年中在生物信息學、醫學、農業和認知科學領域中使用中性統計的眾多應用。本書對科學界非常有用，吸引了對模糊、模糊概念和不確定數據感興趣的讀者，包括學術研究人員、實踐工程師和研究生。中性統計是對傳統統計學的一種推廣。在傳統統計學中，數據是已知的，由確定的數字組成。相比之下，中性統計中的數據具有一定的不確定性。這些數據可能是模糊的、含糊的、不精確的、不完整的，甚至是未知的。

中性統計是指一組數據，其中數據或其中的一部分在某種程度上是不確定的，以及用於分析這些數據的方法。